DETAILED ACTION
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Continued Examination Under 37 CFR 1.114
A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 04/13/2026 has been entered.
Status of Claims
Claims 1-9, & 11-21 of U.S. Application No. 18/766278 filed on 04/13/2026 have been examined.
Office Action is in response to the Applicant's amendments and remarks filed04/13/2026. Claims 1, & 11-12 are presently amended. Claim 10 is cancelled and Claims 18-21 are newly added. Claims 1-9, & 11-21 are presently pending and are presented for examination.
Response to Arguments
In regards to the previous claim interpretation under 35 U.S.C. § 112(f): Applicant does not provide separate remarks regarding the previous claim interpretation under 35 U.S.C. § 112(f). Accordingly, the previous 35 U.S.C. 112(f) claim interpretation is maintained.
In regards to the previous rejection under 35 U.S.C. § 103: Applicant's amendments overcome the previous rejection under 35 U.S.C. § 102. Accordingly, the previous rejection under 35 U.S.C. § 102 is withdrawn. Further Applicant argues that the prior art does not explicitly disclose the limitations, “storing the integrated integration information in a storage… adjusting an information amount of the integration information according to a predetermined selection criterion that indicates whether the external information includes specific information related to an object existing outside of the subject vehicle;”. Applicant further argues on pages. 11-12 of the Remarks, “In particular, Takamatsu fails to teach or suggest the above-noted features, including determining only specific information among the second sensor information, which is external information, and deleting the determined specific information from the integrated sensor information, as recited by claim 1.”. Examiner respectfully disagrees. Applicant is reminded claims must be given their broadest reasonable interpretation. Takamatsu discloses the idea of an information processing apparatus and handling a difference between detection results of sensors. Takamatsu receives sensor information about a mobile object, and the sensor information includes a plurality of parameters (see at least Takamatsu, para. [0063]). Further Takamatsu discloses the sensor apparatus comparing first sensor information and second sensor information about the same mobile object and outputs a comparison result (see at least Takamatsu, para. [0068-0071]). Further Takamatsu integrates the information of the first and second sensor information accumulates the values of the differences from both sensor information to adjust a parameter and perform calibrations for the sensor information (see at least Takamatsu, para. [0085-0086] & para. [0094]). Takamatsu further mentions a storage that stores integrated information from the sensors (see at least Takamatsu, para. [0127]). Further Takamatsu discloses the external information indicating information of a mobile object that includes specific information that further includes at least one of the position, size, type, speed, acceleration, moving direction, detection accuracy, and detection time of the mobile object (see at least Takamatsu, para. [0063]). In view of the arguments above, the 102 rejection is maintained.
Applicant’s remaining arguments with respect to the claim(s) have been considered but are moot because the new ground of rejection does not rely on any reference applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. A new grounds of rejection is made in view of US 10994727B1 (“Kumar”).
Claim Interpretation
The following is a quotation of 35 U.S.C. 112(f):
(f) Element in Claim for a Combination. – An element in a claim for a combination may be expressed as a means or step for performing a specified function without the recital of structure, material, or acts in support thereof, and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof.
The following is a quotation of pre-AIA 35 U.S.C. 112, sixth paragraph:
An element in a claim for a combination may be expressed as a means or step for performing a specified function without the recital of structure, material, or acts in support thereof, and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof.
The claims in this application are given their broadest reasonable interpretation using the plain meaning of the claim language in light of the specification as it would be understood by one of ordinary skill in the art. The broadest reasonable interpretation of a claim element (also commonly referred to as a claim limitation) is limited by the description in the specification when 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, is invoked.
As explained in MPEP § 2181, subsection I, claim limitations that meet the following three-prong test will be interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph:
(A) the claim limitation uses the term “means” or “step” or a term used as a substitute for “means” that is a generic placeholder (also called a nonce term or a non-structural term having no specific structural meaning) for performing the claimed function;
(B) the term “means” or “step” or the generic placeholder is modified by functional language, typically, but not always linked by the transition word “for” (e.g., “means for”) or another linking word or phrase, such as “configured to” or “so that”; and
(C) the term “means” or “step” or the generic placeholder is not modified by sufficient structure, material, or acts for performing the claimed function.
Use of the word “means” (or “step”) in a claim with functional language creates a rebuttable presumption that the claim limitation is to be treated in accordance with 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph. The presumption that the claim limitation is interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, is rebutted when the claim limitation recites sufficient structure, material, or acts to entirely perform the recited function.
Absence of the word “means” (or “step”) in a claim creates a rebuttable presumption that the claim limitation is not to be treated in accordance with 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph. The presumption that the claim limitation is not interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, is rebutted when the claim limitation recites function without reciting sufficient structure, material or acts to entirely perform the recited function.
Claim limitations in this application that use the word “means” (or “step”) are being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, except as otherwise indicated in an Office action. Conversely, claim limitations in this application that do not use the word “means” (or “step”) are not being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, except as otherwise indicated in an Office action.
This application includes one or more claim limitations that do not use the word “means,” but are nonetheless being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, because the claim limitation(s) uses a generic placeholder that is coupled with functional language without reciting sufficient structure to perform the recited function and the generic placeholder is not preceded by a structural modifier. Such claim limitation(s) is/are:
“an acquisition unit configured to acquire…”
“a comparison unit configured to compare…”
“a determination unit configured to determine…”
“an integration unit configured to integrate…perform…adds”
“an adjustment unit configured to adjust…”
in claims 1-11. A review of the specification shows that the following appears to be the corresponding structure for the above limitation described in the specification: (see at least Applicant Specification, para. [0035]: The controller 10 is configured as a computer system including a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), an input-output interface, and the like (not shown), and controls the entire vehicle device 1 by executing computer programs stored in the storage 11.)
Because this/these claim limitation(s) is/are being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, it/they is/are being interpreted to cover the corresponding structure described in the specification as performing the claimed function, and equivalents thereof.
If applicant does not intend to have this/these limitation(s) interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, applicant may: (1) amend the claim limitation(s) to avoid it/them being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph (e.g., by reciting sufficient structure to perform the claimed function); or (2) present a sufficient showing that the claim limitation(s) recite(s) sufficient structure to perform the claimed function so as to avoid it/them being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph.
Claim Rejections - 35 USC § 103
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action:
A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made.
This application currently names joint inventors. In considering patentability of the claims the examiner presumes that the subject matter of the various claims was commonly owned as of the effective filing date of the claimed invention(s) absent any evidence to the contrary. Applicant is advised of the obligation under 37 CFR 1.56 to point out the inventor and effective filing dates of each claim that was not commonly owned as of the effective filing date of the later invention in order for the examiner to consider the applicability of 35 U.S.C. 102(b)(2)(C) for any potential 35 U.S.C. 102(a)(2) prior art against the later invention.
The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows:
1. Determining the scope and contents of the prior art.
2. Ascertaining the differences between the prior art and the claims at issue.
3. Resolving the level of ordinary skill in the pertinent art.
4. Considering objective evidence present in the application indicating obviousness or nonobviousness.
Claim(s) 1-9, 11-12, & 15-17 is/are rejected under 35 U.S.C. 103 as being unpatentable over US 2021/0124956A1 (“Takamatsu”), in view of US 10994727B1 (“Kumar”).
As per claim 1 Takamatsu discloses
A vehicle device comprising (see at least Takamatsu, para. [0035]: For example, a sensor apparatus (onboard sensor apparatus 100 described with reference to FIG. 2) mounted on the vehicle 10A and a sensor apparatus (environment installation sensor apparatus 200 described with reference to FIG. 3) mounted on the traffic light 20A perform sensing regarding the vehicle 10A or a driver of the vehicle 10A.):
an acquisition unit configured to acquire internal information detected by a sensor mounted on a subject vehicle (see at least Takamatsu, para. [0063]: For example, sensor information can include information regarding a mobile object. The sensor information can include, for example, at least one of the position, size, type, speed, acceleration, moving direction, detection accuracy, and detection time of the mobile object. The sensor information can include the above-described information of each of a plurality of mobile objects. Here, the mobile object may be an own vehicle, a different vehicle, or any mobile object such as a pedestrian.);
a comparison unit configured to compare the internal information with external information that is acquired outside the subject vehicle via a communication unit mounted on the subject vehicle (see at least Takamatsu, para. [0068]: The onboard sensor apparatus 100 (e.g., control section 170) may control processing based on a comparison result of first sensor information and second information detected for the same mobile object. & para. [0071]: A person l0C is walking on the crosswalk. In such a situation, for example, sensor apparatuses (onboard sensor apparatuses 100 or environment installation sensor apparatuses 200) mounted on the vehicles 10A and 10B and the traffic light 20 share sensor information regarding the person l0C that is a mobile object.);
a determination unit configured to determine whether both of the internal information and the external information include information related to an identical target based on a comparison result by the comparison unit (see at least Takamatsu, para. [0072]: For example, in the case where the coordinates of mobile objects targeted by the respective pieces of sensor information fall within a predetermined distance, it can be determined that the mobile targets are the same. In addition, in the case where the same identification information is recognized from mobile objects targeted by the respective pieces of sensor information, it can be determined that the mobile objects are the same.); and
an integration unit configured to integrate, as integration information, the information that is acquired from a plurality of different sources and related to the identical target based on a determination result by the determination unit (see at least Takamatsu, para. [0071-0072]: A sharing result of the sensor information is illustrated in FIG. 5. Coordinates 40A represent the position of the person 10C detected by an onboard sensor apparatus 100A mounted on the vehicle l0A. Coordinates 40B represent the position of the person l0C detected by an onboard sensor apparatus 100B mounted on the vehicle l0B. Coordinates 40C represent the position of the person OC detected by the environment installation sensor apparatus 200 mounted on the traffic light 20… For example, in the case where the coordinates of mobile objects targeted by the respective pieces of sensor information fall within a predetermined distance, it can be determined that the mobile targets are the same. In addition, in the case where the same identification information is recognized from mobile objects targeted by the respective pieces of sensor information, it can be determined that the mobile objects are the same. para. [0085-0086]: For example, the onboard sensor apparatus 100 (e.g., detection section 110 and control section 170) may adjust the detection section 110 to decrease an erroneous difference between first sensor information and second sensor information. Specifically, the onboard sensor apparatus 100 performs calibration by adjusting a parameter of each sensor or recognition module included in the detection section 110. For example, the onboard sensor apparatus 100 accumulates evaluation values of differences calculated with the equation (1) or equation (2) above, and performs calibration to make a change in the direction in which the accumulated evaluation values decrease. The degree of reliability may be taken into consideration for calibration…For example, the onboard sensor apparatus 100 (e.g., control section 170) may select sensor information to be used. For example, instead of first sensor information detected by the detection section 110 determined to be abnormal, the onboard sensor apparatus 100 may use the corresponding second sensor information ( detected by the same type of sensor).& para. [0094]); and
to store the integrated integration information in a storage (see at least Takamatsu, para. [0041] & para. [0050-0052] & para. [0127]: The storage apparatus 904 stores a program to be executed by the electronic control unit 902, various types of data, various types of data acquired from the outside, and the like. The storage apparatus 904 can be included, for example, in the storage section 160 illustrated in FIG. 2.); and
an adjustment unit configured to adjust an information amount of the integration information according to a predetermined selection criterion that indicates whether the external information includes specific information related to an object existing outside of the subject vehicle (see at least Takamatsu, para. [0063]: For example, sensor information can include information regarding a mobile object. The sensor information can include, for example, at least one of the position, size, type, speed, acceleration, moving direction, detection accuracy, and detection time of the mobile object. The sensor information can include the above-described information of each of a plurality of mobile objects. Here, the mobile object may be an own vehicle, a different vehicle, or any mobile object such as a pedestrian. para. [0073]: The onboard sensor apparatus 100 may use only sensor information having the degree of reliability greater than or equal to a predetermined value as a comparison target.. para. [0085]: For example, the onboard sensor apparatus 100 accumulates evaluation values of differences calculated with the equation (1) or equation (2) above, and performs calibration to make a change in the direction in which the accumulated evaluation values decrease. The degree of reliability may be taken into consideration for calibration.);
wherein a speed of the subject vehicle is controlled based on at least one of the internal information, the external information, or the integration information (see at least Takamatsu, para. [0089]: Therefore, the onboard sensor apparatus 100 (e.g., driving control section 150 and control section 170) may control an own vehicle such that the own vehicle stays longer in another sensor apparatus's detection area of second sensor information. For example, the onboard sensor apparatus 100 controls an own vehicle such that the own vehicle decreases speed, selectively travels on a road having a large number of other sensor apparatuses, and turns at a corner where the environment installation sensor apparatus 200 is installed.).
However Takamatsu does not explicitly disclose
when the specific information included in the external information overlaps with a part of the internal information, the adjustment unit reduces an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion.
Kumar teaches
when the specific information included in the external information overlaps with a part of the internal information, the adjustment unit reduces an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion (see at least Kumar, col. 19 lines 1-60: As illustrated in FIGS. 3A-3E, an ad-hoc network of vehicles and infrastructure devices may be created to aggregate data from multiple perspectives as a result of an event. The aggregated data may be presented as an overview of the event with each perspective. Additionally, or alternatively, data from each vehicle and infrastructure device may be presented individually to focus on individual perspectives… The example process 400 begins at block 402, wherein one or more sensors are recording or otherwise collecting data corresponding to the vehicle's operation… Additionally, the example event detector 110 may collect the sensor data for the first vehicle 302 surrounding the event 306. At block 408, the example communication link device 118 may 55 determine whether there is another responsive object near the event ( e.g., second vehicle 304, infrastructure device 332, etc.). & col. 20 lines 6-30: As disclosed herein, the example process 400 may loop between blocks 408 and 414 so long as there are responsive objects within range of at least one vehicle or infrastructure device and/or the data acquired by such responsive objects is non-redundant. In such a manner, large vehicle and/or infrastructure device ad-hoc networks may be formed that share data from multiple perspectives such that fault determinations and reactionary measures may be determined with high accuracy… At block 416, the example event processor 116 aggregates the collected data. In some examples, the example event processor 116 eliminates redundant information. In some examples, redundant information may be used to verify accuracy of the collected data.).
It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Takamatsu to incorporate the teaching of when the specific information included in the external information overlaps with a part of the internal information, the adjustment unit reduces an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion of Kumar, with a reasonable expectation of success, in order to conserve on-vehicle or on-infrastructure device computing resources (see at least Kumar, col. 19 lines 43-44).
As per claim 2 Takamatsu discloses
wherein the integration unit is configured to integrate the information related to a mobile object (see at least Takamatsu, para. [0112-0014]: As illustrated in FIG. 11, the control section 170 first pairs first sensor information and second sensor information detected for the same mobile object (step S302). In the case where second sensor information is acquired from a plurality of other sensor apparatuses, a plurality of pairs are generated…The control section 170 then determines that a sensor which detects sensor information whose proportion of pairs having evaluation values greater than or equal to the threshold Y2 is greater than or equal to a threshold Y3 is abnormal (step S308).).
As per claim 3 Takamatsu discloses
wherein the integration unit is configured to integrate the information related to the subject vehicle (see at least Takamatsu, para. [0112-0014]: As illustrated in FIG. 11, the control section 170 first pairs first sensor information and second sensor information detected for the same mobile object (step S302). In the case where second sensor information is acquired from a plurality of other sensor apparatuses, a plurality of pairs are generated…The control section 170 then determines that a sensor which detects sensor information whose proportion of pairs having evaluation values greater than or equal to the threshold Y2 is greater than or equal to a threshold Y3 is abnormal (step S308).).
As per claim 4 Takamatsu discloses
wherein the integration unit is configured to perform integration that enables utilization for controlling traveling of the subject vehicle (see at least Takamatsu, para. [0121-0122]: In the case where it is determined that the majority of the sensors are abnormal (step S602/YES), the driving control section 150 performs automated driving on the basis of second sensor information (step S604). The control section 170 then causes an own vehicle to stop in another sensor apparatus's detection area of second sensor information (step S606)…In contrast, in the case where it is determined that the majority of the sensors are normal (step S602/NO), the driving control section 150 performs automated driving on the basis of first sensor information and second sensor information (step S608).).
As per claim 5 Takamatsu discloses
wherein the integration unit is configured to perform integration that enables utilization for notification to a user (see at least Takamatsu, para. [0102]: The control section 170 then compares the first sensor information and the second sensor information to determine a sensor abnormality by (step S300), and performs calibration (step S400). Next, the control section 170 notifies a user and/or another apparatus of a warning showing an abnormality of the detection section 110 (step S500). The driving control section 150 then performs automated driving (step S600). & para. [0118]: In the case where there is a sensor that fails in calibration (step S502NES), the control section 170 controls the first notification section 130 or the second notification section 140 such that a user or a nearby different vehicle is notified of a warning showing that a sensor abnormality occurs (step S504). In the case where there is no sensor that fails in calibration (step S502/NO), the control section 170 issues no warning.).
As per claim 6 Takamatsu discloses
wherein the integration unit is configured to integrate the information based on each information reliability when the acquired internal information related to the identical target is different from the acquired external information related to the identical target (see at least Takamatsu, para. [0077]: For example, it is assumed that n pairs of first sensor information and second sensor information having degrees of reliability higher than or equal to a threshold are acquired within a predetermined time. In that case, the onboard sensor apparatus 100 calculates an evaluation value with an equation (1) below, and determines a sensor abnormality in the case where the evaluation value is greater than a threshold.).
As per claim 7 Takamatsu discloses
wherein the integration unit adds, as acquired information that is not acquired by the subject vehicle, information that is not in the internal information and is in the external information to an integration target (see at least Takamatsu, para. [0093]: It is assumed that the vehicle l0A is provided with a sensor on the front side, and has a blind spot 60 because of the influence of a wall 50 provided on the inside of the comer. In that case, the onboard sensor apparatus 100 mounted on the vehicle l0A acquires second sensor information from the environment installation sensor apparatus 200 provided to a surveillance camera 20 that is provided in the blind spot 60 or has the blind spot 60 as a detection area, and complements first sensor information. This allows the onboard sensor apparatus 100 to perform automated driving that takes into consideration the presence of the vehicle 10B that is present in the blind spot 60, increasing an accident avoidance rate.).
As per claim 8 Takamatsu discloses
wherein the integration unit adds, as acquired information that is not acquired by the subject vehicle, information that is in the internal information and is not in the external information to an integration target (see at least Takamatsu, Fig. 10 & para. [0109-0110]: As illustrated in FIG. 10, the control section 170 first calculates position information of a blind spot (step S212). For example, the control section 170 recognizes an obstacle such as a wall on the basis of a captured image obtained by imaging the area in front of an own vehicle, and calculates position information of the area behind the recognized obstacle on the basis of position information of the own vehicle…The control section 170 then acquires second sensor information from another sensor apparatus having position information included in the calculated position information of the blind spot among the sensor apparatuses in the vicinity (step S214). Note that the determination of a sensor apparatus in the vicinity can be made similarly to the processing described above with reference to FIG. 9.).
As per claim 9 Takamatsu discloses
wherein the determination unit is configured to determine whether the identical target exists based on at least one information of a position of an object in the internal information and the external information, a speed of the object, an orientation of the object, a three-dimensional shape of the object, or a consistency with a peripheral environment (see at least Takamatsu, para. [0071]: A sharing result of the sensor information is illustrated in FIG. 5. Coordinates 40A represent the position of the person 1 0C detected by an onboard sensor apparatus 100A mounted on the vehicle 10A. Coordinates 40B represent the position of the person l0C detected by an onboard sensor apparatus l00B mounted on the vehicle 10B. Coordinates 40C represent the position of the person OC detected by the environment installation sensor apparatus 200 mounted on the traffic light 20. For example, since the coordinates 40A are apart from the coordinates 40B and 40C, the onboard sensor apparatus l00A can determine that its sensor is abnormal. & para. [0199]).
As per claim 11 Takamatsu discloses
An information integration method for a vehicle and for integrating information acquired from a plurality of different sources of a vehicle (see at least Takamatsu, para. [0057]: The onboard sensor apparatus 100 may preferentially acquire second sensor information from another sensor apparatus capable of detecting the area that overlaps with the area which the onboard sensor apparatus 100 is capable of detecting. In that case, the onboard sensor apparatus 100 is capable of knowing multifaceted sensor information regarding the same area.), the method comprising:
acquiring internal information detected by a sensor mounted on a subject vehicle (see at least Takamatsu, para. [0063]: For example, sensor information can include information regarding a mobile object. The sensor information can include, for example, at least one of the position, size, type, speed, acceleration, moving direction, detection accuracy, and detection time of the mobile object. The sensor information can include the above-described information of each of a plurality of mobile objects. Here, the mobile object may be an own vehicle, a different vehicle, or any mobile object such as a pedestrian.);
comparing the internal information with external information that is acquired outside the subject vehicle via a communication unit mounted on the subject vehicle (see at least Takamatsu, para. [0068]: The onboard sensor apparatus 100 (e.g., control section 170) may control processing based on a comparison result of first sensor information and second information detected for the same mobile object. & para. [0071]: A person l0C is walking on the crosswalk. In such a situation, for example, sensor apparatuses (onboard sensor apparatuses 100 or environment installation sensor apparatuses 200) mounted on the vehicles 10A and 10B and the traffic light 20 share sensor information regarding the person l0C that is a mobile object.);
determining whether both of the internal information and the external information include information related to an identical target (see at least Takamatsu, para. [0072]: For example, in the case where the coordinates of mobile objects targeted by the respective pieces of sensor information fall within a predetermined distance, it can be determined that the mobile targets are the same. In addition, in the case where the same identification information is recognized from mobile objects targeted by the respective pieces of sensor information, it can be determined that the mobile objects are the same.); and
integrating, as integration information, the information that is acquired from the plurality of different sources and related to the identical target based on a determination result (see at least Takamatsu, para. [0071-0072]: A sharing result of the sensor information is illustrated in FIG. 5. Coordinates 40A represent the position of the person 10C detected by an onboard sensor apparatus 100A mounted on the vehicle l0A. Coordinates 40B represent the position of the person l0C detected by an onboard sensor apparatus 100B mounted on the vehicle l0B. Coordinates 40C represent the position of the person OC detected by the environment installation sensor apparatus 200 mounted on the traffic light 20… For example, in the case where the coordinates of mobile objects targeted by the respective pieces of sensor information fall within a predetermined distance, it can be determined that the mobile targets are the same. In addition, in the case where the same identification information is recognized from mobile objects targeted by the respective pieces of sensor information, it can be determined that the mobile objects are the same. para. [0085-0086]: For example, the onboard sensor apparatus 100 (e.g., detection section 110 and control section 170) may adjust the detection section 110 to decrease an erroneous difference between first sensor information and second sensor information. Specifically, the onboard sensor apparatus 100 performs calibration by adjusting a parameter of each sensor or recognition module included in the detection section 110. For example, the onboard sensor apparatus 100 accumulates evaluation values of differences calculated with the equation (1) or equation (2) above, and performs calibration to make a change in the direction in which the accumulated evaluation values decrease. The degree of reliability may be taken into consideration for calibration…For example, the onboard sensor apparatus 100 (e.g., control section 170) may select sensor information to be used. For example, instead of first sensor information detected by the detection section 110 determined to be abnormal, the onboard sensor apparatus 100 may use the corresponding second sensor information ( detected by the same type of sensor).& para. [0094]);
storing the integrated integration information in a storage (see at least Takamatsu, para. [0041] & para. [0050-0052] & para. [0127]: The storage apparatus 904 stores a program to be executed by the electronic control unit 902, various types of data, various types of data acquired from the outside, and the like. The storage apparatus 904 can be included, for example, in the storage section 160 illustrated in FIG. 2.);
adjusting an information amount of the integration information according to a predetermined selection criterion that indicates whether the external information includes specific information related to an object existing outside of the subject vehicle (see at least Takamatsu, para. [0063]: For example, sensor information can include information regarding a mobile object. The sensor information can include, for example, at least one of the position, size, type, speed, acceleration, moving direction, detection accuracy, and detection time of the mobile object. The sensor information can include the above-described information of each of a plurality of mobile objects. Here, the mobile object may be an own vehicle, a different vehicle, or any mobile object such as a pedestrian. para. [0073]: The onboard sensor apparatus 100 may use only sensor information having the degree of reliability greater than or equal to a predetermined value as a comparison target. para. [0085]: For example, the onboard sensor apparatus 100 accumulates evaluation values of differences calculated with the equation (1) or equation (2) above, and performs calibration to make a change in the direction in which the accumulated evaluation values decrease. The degree of reliability may be taken into consideration for calibration.); and
wherein a speed of the subject vehicle is controlled based on at least one of the internal information, the external information, or the integration information (see at least Takamatsu, para. [0089]: Therefore, the onboard sensor apparatus 100 (e.g., driving control section 150 and control section 170) may control an own vehicle such that the own vehicle stays longer in another sensor apparatus's detection area of second sensor information. For example, the onboard sensor apparatus 100 controls an own vehicle such that the own vehicle decreases speed, selectively travels on a road having a large number of other sensor apparatuses, and turns at a corner where the environment installation sensor apparatus 200 is installed.).
However Takamatsu does not explicitly disclose
when the specific information included in the external information overlaps with a part of the internal information, reducing an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion.
Kumar teaches
when the specific information included in the external information overlaps with a part of the internal information, reducing an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion (see at least Kumar, col. 19 lines 1-60: As illustrated in FIGS. 3A-3E, an ad-hoc network of vehicles and infrastructure devices may be created to aggregate data from multiple perspectives as a result of an event. The aggregated data may be presented as an overview of the event with each perspective. Additionally, or alternatively, data from each vehicle and infrastructure device may be presented individually to focus on individual perspectives… The example process 400 begins at block 402, wherein one or more sensors are recording or otherwise collecting data corresponding to the vehicle's operation… Additionally, the example event detector 110 may collect the sensor data for the first vehicle 302 surrounding the event 306. At block 408, the example communication link device 118 may 55 determine whether there is another responsive object near the event ( e.g., second vehicle 304, infrastructure device 332, etc.). & col. 20 lines 6-30: As disclosed herein, the example process 400 may loop between blocks 408 and 414 so long as there are responsive objects within range of at least one vehicle or infrastructure device and/or the data acquired by such responsive objects is non-redundant. In such a manner, large vehicle and/or infrastructure device ad-hoc networks may be formed that share data from multiple perspectives such that fault determinations and reactionary measures may be determined with high accuracy… At block 416, the example event processor 116 aggregates the collected data. In some examples, the example event processor 116 eliminates redundant information. In some examples, redundant information may be used to verify accuracy of the collected data.).
It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Takamatsu to incorporate the teaching of when the specific information included in the external information overlaps with a part of the internal information, reducing an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion of Kumar, with a reasonable expectation of success, in order to conserve on-vehicle or on-infrastructure device computing resources (see at least Kumar, col. 19 lines 43-44).
As per claim 12 Takamatsu discloses
A vehicle device comprising (see at least Takamatsu, para. [0035]: For example, a sensor apparatus (onboard sensor apparatus 100 described with reference to FIG. 2) mounted on the vehicle 10A and a sensor apparatus (environment installation sensor apparatus 200 described with reference to FIG. 3) mounted on the traffic light 20A perform sensing regarding the vehicle 10A or a driver of the vehicle 10A.):
a processor (see at least Takamatsu, para. [0142]); and
a memory coupled to the processor and storing program instructions that when executed by the processor cause the processor to at least (see at least Takamatsu, para. [0142]):
acquire internal information detected by a sensor mounted on a subject vehicle (see at least Takamatsu, para. [0063]: For example, sensor information can include information regarding a mobile object. The sensor information can include, for example, at least one of the position, size, type, speed, acceleration, moving direction, detection accuracy, and detection time of the mobile object. The sensor information can include the above-described information of each of a plurality of mobile objects. Here, the mobile object may be an own vehicle, a different vehicle, or any mobile object such as a pedestrian.);
compare the internal information with external information that is acquired outside the subject vehicle (see at least Takamatsu, para. [0068]: The onboard sensor apparatus 100 (e.g., control section 170) may control processing based on a comparison result of first sensor information and second information detected for the same mobile object. & para. [0071]: A person l0C is walking on the crosswalk. In such a situation, for example, sensor apparatuses (onboard sensor apparatuses 100 or environment installation sensor apparatuses 200) mounted on the vehicles 10A and 10B and the traffic light 20 share sensor information regarding the person l0C that is a mobile object.);
determine whether both of the internal information and the external information include information related to an identical target based on a comparison result of the internal information with external information (see at least Takamatsu, para. [0072]: For example, in the case where the coordinates of mobile objects targeted by the respective pieces of sensor information fall within a predetermined distance, it can be determined that the mobile targets are the same. In addition, in the case where the same identification information is recognized from mobile objects targeted by the respective pieces of sensor information, it can be determined that the mobile objects are the same.); and
integrate, as integration information, the information that is acquired from a plurality of different sources and related to the identical target based on a determination result of whether both of the internal information and the external information include the information (see at least Takamatsu, para. [0071-0072]: A sharing result of the sensor information is illustrated in FIG. 5. Coordinates 40A represent the position of the person 10C detected by an onboard sensor apparatus 100A mounted on the vehicle l0A. Coordinates 40B represent the position of the person l0C detected by an onboard sensor apparatus 100B mounted on the vehicle l0B. Coordinates 40C represent the position of the person OC detected by the environment installation sensor apparatus 200 mounted on the traffic light 20… For example, in the case where the coordinates of mobile objects targeted by the respective pieces of sensor information fall within a predetermined distance, it can be determined that the mobile targets are the same. In addition, in the case where the same identification information is recognized from mobile objects targeted by the respective pieces of sensor information, it can be determined that the mobile objects are the same. para. [0085-0086]: For example, the onboard sensor apparatus 100 (e.g., detection section 110 and control section 170) may adjust the detection section 110 to decrease an erroneous difference between first sensor information and second sensor information. Specifically, the onboard sensor apparatus 100 performs calibration by adjusting a parameter of each sensor or recognition module included in the detection section 110. For example, the onboard sensor apparatus 100 accumulates evaluation values of differences calculated with the equation (1) or equation (2) above, and performs calibration to make a change in the direction in which the accumulated evaluation values decrease. The degree of reliability may be taken into consideration for calibration…For example, the onboard sensor apparatus 100 (e.g., control section 170) may select sensor information to be used. For example, instead of first sensor information detected by the detection section 110 determined to be abnormal, the onboard sensor apparatus 100 may use the corresponding second sensor information ( detected by the same type of sensor).& para. [0094]);
store the integrated integration information in a storage (see at least Takamatsu, para. [0041] & para. [0050-0052] & para. [0127]: The storage apparatus 904 stores a program to be executed by the electronic control unit 902, various types of data, various types of data acquired from the outside, and the like. The storage apparatus 904 can be included, for example, in the storage section 160 illustrated in FIG. 2.);
adjust an information amount of the integration information according to a predetermined selection criterion that indicates whether the external information includes specific information related to an object existing outside of the subject vehicle (see at least Takamatsu, para. [0063]: For example, sensor information can include information regarding a mobile object. The sensor information can include, for example, at least one of the position, size, type, speed, acceleration, moving direction, detection accuracy, and detection time of the mobile object. The sensor information can include the above-described information of each of a plurality of mobile objects. Here, the mobile object may be an own vehicle, a different vehicle, or any mobile object such as a pedestrian. para. [0073]: The onboard sensor apparatus 100 may use only sensor information having the degree of reliability greater than or equal to a predetermined value as a comparison target. para. [0085]: For example, the onboard sensor apparatus 100 accumulates evaluation values of differences calculated with the equation (1) or equation (2) above, and performs calibration to make a change in the direction in which the accumulated evaluation values decrease. The degree of reliability may be taken into consideration for calibration.);
wherein a speed of the subject vehicle is controlled based on at least one of the internal information, the external information, or the integration information (see at least Takamatsu, para. [0089]: Therefore, the onboard sensor apparatus 100 (e.g., driving control section 150 and control section 170) may control an own vehicle such that the own vehicle stays longer in another sensor apparatus's detection area of second sensor information. For example, the onboard sensor apparatus 100 controls an own vehicle such that the own vehicle decreases speed, selectively travels on a road having a large number of other sensor apparatuses, and turns at a corner where the environment installation sensor apparatus 200 is installed.).
However Takamatsu does not explicitly disclose
when the specific information included in the external information overlaps with a part of the internal information, reduce an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion.
Kumar teaches
when the specific information included in the external information overlaps with a part of the internal information, reduce an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion (see at least Kumar, col. 19 lines 1-60: As illustrated in FIGS. 3A-3E, an ad-hoc network of vehicles and infrastructure devices may be created to aggregate data from multiple perspectives as a result of an event. The aggregated data may be presented as an overview of the event with each perspective. Additionally, or alternatively, data from each vehicle and infrastructure device may be presented individually to focus on individual perspectives… The example process 400 begins at block 402, wherein one or more sensors are recording or otherwise collecting data corresponding to the vehicle's operation… Additionally, the example event detector 110 may collect the sensor data for the first vehicle 302 surrounding the event 306. At block 408, the example communication link device 118 may 55 determine whether there is another responsive object near the event ( e.g., second vehicle 304, infrastructure device 332, etc.). & col. 20 lines 6-30: As disclosed herein, the example process 400 may loop between blocks 408 and 414 so long as there are responsive objects within range of at least one vehicle or infrastructure device and/or the data acquired by such responsive objects is non-redundant. In such a manner, large vehicle and/or infrastructure device ad-hoc networks may be formed that share data from multiple perspectives such that fault determinations and reactionary measures may be determined with high accuracy… At block 416, the example event processor 116 aggregates the collected data. In some examples, the example event processor 116 eliminates redundant information. In some examples, redundant information may be used to verify accuracy of the collected data.).
It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Takamatsu to incorporate the teaching of when the specific information included in the external information overlaps with a part of the internal information, reduce an information amount of the integration information by excluding the overlapping specific information from the stored integration information in accordance with the predetermined selection criterion of Kumar, with a reasonable expectation of success, in order to conserve on-vehicle or on-infrastructure device computing resources (see at least Kumar, col. 19 lines 43-44).
As per claim 15 Takamatsu discloses
further comprising: an electronic control unit configured to control a brake system of the subject vehicle and to slow down the subject vehicle by controlling the brake system based on at least one of the internal information, the external information, or the integration information (see at least Takamatsu, para. [0089]: Therefore, the onboard sensor apparatus 100 (e.g., driving control section 150 and control section 170) may control an own vehicle such that the own vehicle stays longer in another sensor apparatus's detection area of second sensor information. For example, the onboard sensor apparatus 100 controls an own vehicle such that the own vehicle decreases speed, selectively travels on a road having a large number of other sensor apparatuses, and turns at a corner where the environment installation sensor apparatus 200 is installed. & para. [0139]: Note that the power generation apparatus 918, the braking apparatus 920, the steering 922, and the lamp activation apparatus 924 may come into operation on the basis of a manual operation performed by a driver or on the basis of an automatic operation performed by the electronic control unit 902.).
As per claim 16 Takamatsu discloses
further comprising: controlling, with an electronic control unit, a brake system of the subject vehicle to slow down the subject vehicle based on at least one of the internal information, the external information, or the integration information (see at least Takamatsu, para. [0089]: Therefore, the onboard sensor apparatus 100 (e.g., driving control section 150 and control section 170) may control an own vehicle such that the own vehicle stays longer in another sensor apparatus's detection area of second sensor information. For example, the onboard sensor apparatus 100 controls an own vehicle such that the own vehicle decreases speed, selectively travels on a road having a large number of other sensor apparatuses, and turns at a corner where the environment installation sensor apparatus 200 is installed. & para. [0139]: Note that the power generation apparatus 918, the braking apparatus 920, the steering 922, and the lamp activation apparatus 924 may come into operation on the basis of a manual operation performed by a driver or on the basis of an automatic operation performed by the electronic control unit 902.).
As per claim 17 Takamatsu discloses
further comprising: an electronic control unit configured to control a brake system of the subject vehicle and to slow down the subject vehicle by controlling the brake system based on at least one of the internal information, the external information, or the integration information (see at least Takamatsu, para. [0089]: Therefore, the onboard sensor apparatus 100 (e.g., driving control section 150 and control section 170) may control an own vehicle such that the own vehicle stays longer in another sensor apparatus's detection area of second sensor information. For example, the onboard sensor apparatus 100 controls an own vehicle such that the own vehicle decreases speed, selectively travels on a road having a large number of other sensor apparatuses, and turns at a corner where the environment installation sensor apparatus 200 is installed. & para. [0139]: Note that the power generation apparatus 918, the braking apparatus 920, the steering 922, and the lamp activation apparatus 924 may come into operation on the basis of a manual operation performed by a driver or on the basis of an automatic operation performed by the electronic control unit 902.).
Claim(s) 13 is/are rejected under 35 U.S.C. 103 as being unpatentable over Takamatsu, in view of Kumar, in view of US 2019/0361436A1 (“Ueda”).
As per claim 13 Takamatsu does not explicitly disclose
wherein the adjustment unit is further configured to adjust the information amount of the integration information according to a priority set in the predetermined selection criterion based on a degree of influence on a control of the subject vehicle or on a risk prediction.
Ueda teaches
wherein the adjustment unit is further configured to adjust the information amount of the integration information according to a priority set in the predetermined selection criterion based on a degree of influence on a control of the subject vehicle or on a risk prediction (see at least Ueda, para. [0081]: Transmission data amount adjuster 114 adjusts a data amount of the sensed data to be transmitted to remote control device 50 based on the risk degree calculated by risk degree calculator112 or the communication delay amount estimated by communication delay estimator 113.Transmission data amount adjuster 114 increases a data amount of the sensed data to be transmitted as the risk degree is higher or as the communication delay amount is smaller.).
It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Takamatsu to incorporate the teaching of wherein the adjustment unit is further configured to adjust the information amount of the integration information according to a priority set in the predetermined selection criterion based on a degree of influence on a control of the subject vehicle or on a risk prediction of Ueda, with a reasonable expectation of success, in order to reduce the amount of communication between autonomous vehicle control device and remote control device while ensuring safety is secured (see at least Ueda, para. [0100]).
Claim(s) 14 is/are rejected under 35 U.S.C. 103 as being unpatentable over Takamatsu, in view of Kumar, in view of US 2019/0333386A1 (“Horita”).
As per claim 14 Takamatsu does not explicitly disclose
wherein the integration unit is further configured to perform integration that enables utilization for notification to a user, the vehicle device further comprising:
a risk prediction unit configured to cause a display device or an audio device to perform the notification using a state obtained by the integration that enables the utilization for the notification to the user.
Horita teaches
wherein the integration unit is further configured to perform integration that enables utilization for notification to a user, the vehicle device further comprising: a risk prediction unit configured to cause a display device or an audio device to perform the notification using a state obtained by the integration that enables the utilization for the notification to the user (see at least Horita, para. [0042]: The in-vehicle HMI apparatus 80 is constituted by a speaker, a display apparatus and the like mounted on the vehicle 2. The in-vehicle HMI apparatus 80 is configured to perform, through sound or a screen, notification to a driver about driving assistance of the vehicle 2 based on information output from the surrounding environment recognizing apparatus 10 and/or information output from the driving control apparatus 70. & para. [0052]: The surrounding environment recognizing apparatus 10 of the driving control system 1 in the present embodiment executes a surrounding environment recognition process like the one explained below based on information about the vehicle 2 and/or environment factors around the vehicle 2 acquired individually from the own vehicle position determining apparatus 30, external sensor group 40, vehicle sensor group 50 and map information managing apparatus 60, which are external apparatuses, and creates a risk-of-driving map of an area around the vehicle 2 like the aforementioned map. Then, it outputs the generated risk-of-driving map to the driving control apparatus 70 and/or in-vehicle HMI apparatus 80 to thereby provide driving assistance of the vehicle 2.).
It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Takamatsu to incorporate the teaching of wherein the integration unit is further configured to perform integration that enables utilization for notification to a user, the vehicle device further comprising: a risk prediction unit configured to cause a display device or an audio device to perform the notification using a state obtained by the integration that enables the utilization for the notification to the user of Horita, with a reasonable expectation of success, in order for the risk of driving of a vehicle can be evaluated highly precisely considering changes over time of the surrounding environment of the vehicle (see at least Horita, para. [0006]).
Claim(s) 18-21 is/are rejected under 35 U.S.C. 103 as being unpatentable over Takamatsu, in view of Kumar, in view of US 2023/0394971A1 (“Kobayashi”).
As per claim 18 Takamatsu discloses
wherein: the external information is received from a roadside device located outside the subject vehicle (see at least Takamatsu, para. [0035]: For example, a sensor apparatus (onboard sensor apparatus 100 described with reference to FIG. 2) mounted on the vehicle 10A and a sensor apparatus ( environment installation sensor apparatus 200 described with reference to FIG. 3) mounted on the traffic light 20A perform sensing regarding the vehicle 10A or a driver of the vehicle 10A.).
However Takamatsu does not explicitly disclose
the integration unit is further configured to, among the external information received from the roadside device located outside the subject vehicle, individually select, for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence.
Kobayashi teaches
the integration unit is further configured to, among the external information received from the roadside device located outside the subject vehicle, individually select, for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence (see at least Kobayashi, para. [0099-0101]: Next, the information provision server 200c determines the importance levels to be given to the individual objects by using the arrangement of the objects and the moving state (traveling direction) of the mobile object (step S205). Next, the information provision server 200c creates the secondary information in view of the determined importance levels (step S004). For example, it is assumed that the moving state (traveling direction) indicating that the first mobile object (vehicle CAR1) is turning right is obtained. In this case, between the objects (BIKE1 and P1) located in the blind spots of the first mobile object (vehicle CAR1), the information provision server 200c sets a higher importance level to the two-wheeled vehicle BIKE1 located in the traveling direction of the first mobile object (vehicleCAR1), as illustrated in FIG. 18. Next, the information provision server 200c creates the secondary information strongly alerting about the two-wheeled vehicle BIKE1. In this case, the pedestrian P1 to which a lower importance level has been given may be removed from the secondary information.).
It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Takamatsu to incorporate the teaching of the integration unit is further configured to, among the external information received from the roadside device located outside the subject vehicle, individually select, for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence of Kobayashi, with a reasonable expectation of success, in order for the accuracy in determining whether or not to create the secondary information can be improved (see at least Kobayashi, para. [0093]).
As per claim 19 Takamatsu discloses
wherein: the external information is received from a roadside device located outside the subject vehicle (see at least Takamatsu, para. [0035]: For example, a sensor apparatus (onboard sensor apparatus 100 described with reference to FIG. 2) mounted on the vehicle 10A and a sensor apparatus ( environment installation sensor apparatus 200 described with reference to FIG. 3) mounted on the traffic light 20A perform sensing regarding the vehicle 10A or a driver of the vehicle 10A.).
However Takamatsu does not explicitly disclose
the method further comprises individually selecting, from among the external information received from the roadside device located outside the subject vehicle and for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence.
Kobayashi teaches
the method further comprises individually selecting, from among the external information received from the roadside device located outside the subject vehicle and for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence (see at least Kobayashi, para. [0099-0101]: Next, the information provision server 200c determines the importance levels to be given to the individual objects by using the arrangement of the objects and the moving state (traveling direction) of the mobile object (step S205). Next, the information provision server 200c creates the secondary information in view of the determined importance levels (step S004). For example, it is assumed that the moving state (traveling direction) indicating that the first mobile object (vehicle CAR1) is turning right is obtained. In this case, between the objects (BIKE1 and P1) located in the blind spots of the first mobile object (vehicle CAR1), the information provision server 200c sets a higher importance level to the two-wheeled vehicle BIKE1 located in the traveling direction of the first mobile object (vehicleCAR1), as illustrated in FIG. 18. Next, the information provision server 200c creates the secondary information strongly alerting about the two-wheeled vehicle BIKE1. In this case, the pedestrian P1 to which a lower importance level has been given may be removed from the secondary information.).
It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Takamatsu to incorporate the teaching of the method further comprises individually selecting, from among the external information received from the roadside device located outside the subject vehicle and for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence of Kobayashi, with a reasonable expectation of success, in order for the accuracy in determining whether or not to create the secondary information can be improved (see at least Kobayashi, para. [0093]).
As per claim 20 Takamatsu discloses
wherein: the external information is received from a roadside device located outside the subject vehicle (see at least Takamatsu, para. [0035]: For example, a sensor apparatus (onboard sensor apparatus 100 described with reference to FIG. 2) mounted on the vehicle 10A and a sensor apparatus ( environment installation sensor apparatus 200 described with reference to FIG. 3) mounted on the traffic light 20A perform sensing regarding the vehicle 10A or a driver of the vehicle 10A.).
However Takamatsu does not explicitly disclose
the program instructions, when executed by the processor, further cause the processor to individually select, from among the external information received from the roadside device located outside the subject vehicle and for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence.
Kobayashi teaches
the program instructions, when executed by the processor, further cause the processor to individually select, from among the external information received from the roadside device located outside the subject vehicle and for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence (see at least Kobayashi, para. [0099-0101]: Next, the information provision server 200c determines the importance levels to be given to the individual objects by using the arrangement of the objects and the moving state (traveling direction) of the mobile object (step S205). Next, the information provision server 200c creates the secondary information in view of the determined importance levels (step S004). For example, it is assumed that the moving state (traveling direction) indicating that the first mobile object (vehicle CAR1) is turning right is obtained. In this case, between the objects (BIKE1 and P1) located in the blind spots of the first mobile object (vehicle CAR1), the information provision server 200c sets a higher importance level to the two-wheeled vehicle BIKE1 located in the traveling direction of the first mobile object (vehicleCAR1), as illustrated in FIG. 18. Next, the information provision server 200c creates the secondary information strongly alerting about the two-wheeled vehicle BIKE1. In this case, the pedestrian P1 to which a lower importance level has been given may be removed from the secondary information.).
It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Takamatsu to incorporate the teaching of the program instructions, when executed by the processor, further cause the processor to individually select, from among the external information received from the roadside device located outside the subject vehicle and for each of a plurality of mobile objects, information that relates to the plurality of mobile objects moving in a direction approaching the subject vehicle and that is expected to have a larger influence on control of the subject vehicle, as the integration information, than a predetermined influence of Kobayashi, with a reasonable expectation of success, in order for the accuracy in determining whether or not to create the secondary information can be improved (see at least Kobayashi, para. [0093]).
As per claim 21 Takamatsu discloses
wherein the roadside device includes a different processor and a different memory (see at least Takamatsu, para. [0124]: In addition, the environment installation sensor apparatus 200 may be implemented as an apparatus such as a traffic light, a surveillance camera, a digital signage, or an electronic message board that is installed in an environment. In addition, at least some components of the environment installation sensor apparatus 200 may be implemented in a
module ( e.g., integrated circuit module including one die) for an apparatus installed in an environment.).
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to MOHAMED ABDO ALGEHAIM whose telephone number is (571)272-3628. The examiner can normally be reached Monday-Friday 8-5PM EST.
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/MOHAMED ABDO ALGEHAIM/Primary Examiner, Art Unit 3668
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