Prosecution Insights
Last updated: October 02, 2026
Application No. 19/331,937

SYSTEMS AND METHODS FOR EVALUATING AND SHARING AUTONOMOUS VEHICLE DRIVING STYLE INFORMATION WITH PROXIMATE VEHICLES

Non-Final OA §102
Filed
Sep 17, 2025
Priority
Mar 14, 2018 — continuation of 11/009,876 +2 more
Examiner
BERNS, MICHAEL ANDREW
Art Unit
3667
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Lodestar Licensing Group LLC
OA Round
1 (Non-Final)
84%
Grant Probability
Favorable
1-2
OA Rounds
1y 1m
Est. Remaining
95%
With Interview

Examiner Intelligence

Grants 84% — above average
84%
Career Allowance Rate
649 granted / 771 resolved
+32.2% vs TC avg
Moderate +11% lift
Without
With
+11.1%
Interview Lift
resolved cases with interview
Typical timeline
2y 2m
Avg Prosecution
11 currently pending
Career history
789
Total Applications
across all art units

Statute-Specific Performance

§101
11.3%
-28.7% vs TC avg
§103
33.0%
-7.0% vs TC avg
§102
22.0%
-18.0% vs TC avg
§112
29.9%
-10.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 771 resolved cases

Office Action

§102
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 . DETAILED ACTION Status of the Claims This action is in response to the applicant’s filing on September 17, 2025. Claims 1-20 are pending. Specification The disclosure is objected to because of the following informalities: At [0041], “for purposes relate or unrelated to evaluating driving style” appears to be intended as “for purposes related or unrelated to evaluating driving style” Appropriate correction is required. Claim Rejections - 35 USC § 102 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 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 the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale or otherwise available to the public before the effective filing date of the claimed invention. (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claims 1-20 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Ross et al., U.S. Patent 9,884,630 B1 (2018). As to claim 1, Ross et al. discloses a method, comprising: presenting, to a passenger of a first autonomous vehicle among a population of autonomous vehicles, a user interface (Column 13, Line 47 – Column 14, Line 21); prompting, via the user interface, the passenger to rate a plurality of aspects of driving characteristics by the first autonomous vehicle during a trip of the passenger (Column 13, Line 47 – Column 14, Line 21); receiving, from the passenger and via the user interface, ratings of the plurality of aspects (Column 13, Line 47 – Column 14, Line 21); and adjusting, based at least in part on the ratings, operations of a second autonomous vehicle among the population of autonomous vehicles (Column 15, Lines 20-57). As to claim 2, Ross et al. discloses the method of claim 1, and further discloses wherein the user interface is presented on a mobile device of the passenger (Column 17, Line 51 – Column 18, Line 3). As to claim 3, Ross et al. discloses the method of claim 2, and further discloses wherein the plurality of aspects includes following distance (Column 13, Lines 47-67). As to claim 4, Ross et al. discloses the method of claim 2, and further discloses wherein the plurality of aspects includes braking (Column 7, Line 44 – Column 8, Line 7). As to claim 5, Ross et al. discloses the method of claim 2, and further discloses wherein the plurality of aspects includes accelerating (Column 5, Lines 38-56). As to claim 6, Ross et al. discloses the method of claim 2, and further discloses wherein the plurality of aspects includes navigating to avoid obstacles (Column 3, Lines 3-23, Column 12, Lines 3-18). As to claim 7, Ross et al. discloses the method of claim 2, and further discloses wherein the adjusting is via a server remote to both the first autonomous vehicle and the second autonomous vehicle (Column 4, Lines 23-59). As to claim 8, Ross et al. discloses the method of claim 7, and further discloses further comprising: collecting, via a sensor system configured on the first autonomous vehicle, information regarding operational aspects of the first autonomous vehicle during the trip (Column 5, Lines 38-56). As to claim 9, Ross et al. discloses the method of claim 8, and further discloses wherein the adjusting is further based on an analysis of the information regarding the operational aspects of the first autonomous vehicle during the trip (Column 7, Lines 44 – Column 8, Line 7). As to claim 10, Ross et al. discloses the method of claim 9, and further discloses wherein the adjusting includes sending a warning to an occupant of the second autonomous vehicle (Column 12, Lines 19-50). As to claim 11, Ross et al. discloses the method of claim 10, and further discloses wherein the warning is configured to cause an occupant of the second autonomous vehicle to control the second autonomous vehicle (Column 10, Lines 1-13, Column 8, Lines 8-25). As to claim 12, Ross et al. discloses a system, comprising: a display configured to display a user interface (Column 13, Line 47 – Column 14, Line 21), wherein the user interface is configured to: prompt, a passenger of a first autonomous vehicle among a population of autonomous vehicles, to rate a plurality of aspects of driving characteristics of the first autonomous vehicle during a trip of the passenger (Column 13, Line 47 – Column 14, Line 21); and receive, from the passenger, ratings of the plurality of aspects (Column 13, Line 47 – Column 14, Line 21); and at least one processor configured to control a second autonomous vehicle among the population of autonomous vehicles based at least in part on the ratings (Column 15, Lines 20-57). As to claim 13, Ross et al. discloses the system of claim 12, and further discloses wherein the user interface is presented on a mobile device of the passenger (Column 17, Line 51 – Column 18, Line 3). As to claim 14, Ross et al. discloses the system of claim 13, and further discloses wherein the plurality of aspects includes following distance, braking, accelerating, or navigating to avoid obstacles, or any combination thereof (Column 7, Line 44 – Column 8, Line 7, Column 5, Lines 38-56). As to claim 15, Ross et al. discloses the system of claim 14, and further discloses wherein the at least one processor is configured in a server remote to both the first autonomous vehicle and the second autonomous vehicle (Column 4, Lines 23-59). As to claim 16, Ross et al. discloses the system of claim 15, and further discloses wherein the at least one processor is further configured to analyze information, collected by a sensor system configured on the first autonomous vehicle, regarding operational aspects of the first autonomous vehicle during the trip to control the second autonomous vehicle (Column 7, Lines 44 – Column 8, Line 7). As to claim 17, Ross et al. discloses the system of claim 16, and further discloses wherein the at least one processor is further configured to control second autonomous vehicle via sending a warning to an occupant of the second autonomous vehicle (Column 12, Lines 19-50). As to claim 18, Ross et al. discloses a non-transitory computer storage medium storing instructions which, when executed in a computing device, cause the computing device to perform a method, comprising: presenting, to a passenger of a first autonomous vehicle among a population of autonomous vehicles, a user interface (Column 13, Line 47 – Column 14, Line 21); prompting, via the user interface, the passenger to rate a plurality of aspects of driving characteristics of the first autonomous vehicle during a trip of the passenger (Column 13, Line 47 – Column 14, Line 21); and receiving, from the passenger and via the user interface, ratings of the plurality of aspects (Column 13, Line 47 – Column 14, Line 21); wherein the ratings cause adjustments in operations of a second autonomous vehicle among the population of autonomous vehicles (Column 15, Lines 20-57). As to claim 19, Ross et al. discloses the non-transitory computer storage medium of claim 18, and further discloses wherein the user interface is presented on a mobile device of the passenger (Column 17, Line 51 – Column 18, Line 3). As to claim 20, Ross et al. discloses the non-transitory computer storage medium of claim 19, and further discloses wherein the plurality of aspects includes following distance, braking, accelerating, or navigating to avoid obstacles, or any combination thereof (Column 7, Line 44 – Column 8, Line 7, Column 5, Lines 38-56). Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. The publication of the present application is cited. The issued patent of the parent application is cited. Wheeler et al. is cited as disclosing a similar system that works in a different manner. Any inquiry concerning this communication or earlier communications from the examiner should be directed to MICHAEL BERNS whose telephone number is (313)446-4892. The examiner can normally be reached Monday - Friday 9:00 - 5:00. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Hitesh Patel can be reached at 571-270-5442. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. MICHAEL BERNS Primary Examiner Art Unit 3667 /MICHAEL A BERNS/Primary Examiner, Art Unit 3667
Read full office action

Prosecution Timeline

Sep 17, 2025
Application Filed
Sep 16, 2026
Non-Final Rejection mailed — §102 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12730203
USING REFERENCE ROAD SEGMENTS TO CALIBRATE THE RESPONSE OF VEHICLE SENSOR SYSTEMS
2y 4m to grant Granted Sep 08, 2026
Patent 12728860
METHOD AND DEVICE FOR CONTROLLING VEHICLE
2y 0m to grant Granted Sep 08, 2026
Patent 12728733
SLIP CONTROL METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM
1y 10m to grant Granted Sep 08, 2026
Patent 12722796
SYSTEM AND METHOD FOR MONITORING AND/OR DETECTING AN OPERATIONAL STATE OF A MOVABLE COMPONENT OF AN AIRCRAFT
2y 4m to grant Granted Sep 01, 2026
Patent 12704848
VEHICLE CONTROL LOOPS AND INTERFACES
2y 9m to grant Granted Aug 11, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2
Expected OA Rounds
84%
Grant Probability
95%
With Interview (+11.1%)
2y 2m (~1y 1m remaining)
Median Time to Grant
Low
PTA Risk
Based on 771 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month