Prosecution Insights
Last updated: July 17, 2026
Application No. 19/225,900

PREDICTIVE VEHICLE PARKING SYSTEMS

Non-Final OA §DP
Filed
Jun 02, 2025
Priority
Oct 28, 2021 — continuation of 11/935,409 +1 more
Examiner
MCNALLY, KERRI L
Art Unit
Tech Center
Assignee
AT&T Intellectual Property I L.P.
OA Round
1 (Non-Final)
80%
Grant Probability
Favorable
1-2
OA Rounds
1y 2m
Est. Remaining
92%
With Interview

Examiner Intelligence

Grants 80% — above average
80%
Career Allowance Rate
852 granted / 1058 resolved
+20.5% vs TC avg
Moderate +11% lift
Without
With
+11.2%
Interview Lift
resolved cases with interview
Typical timeline
2y 3m
Avg Prosecution
10 currently pending
Career history
1066
Total Applications
across all art units

Statute-Specific Performance

§101
2.4%
-37.6% vs TC avg
§103
70.4%
+30.4% vs TC avg
§102
8.3%
-31.7% vs TC avg
§112
11.0%
-29.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1058 resolved cases

Office Action

§DP
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 . Status of the Claims Claims 1-20 are currently pending. Double Patenting The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP § 2146 et seq. for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b). The filing of a terminal disclaimer by itself is not a complete reply to a nonstatutory double patenting (NSDP) rejection. A complete reply requires that the terminal disclaimer be accompanied by a reply requesting reconsideration of the prior Office action. Even where the NSDP rejection is provisional the reply must be complete. See MPEP § 804, subsection I.B.1. For a reply to a non-final Office action, see 37 CFR 1.111(a). For a reply to final Office action, see 37 CFR 1.113(c). A request for reconsideration while not provided for in 37 CFR 1.113(c) may be filed after final for consideration. See MPEP §§ 706.07(e) and 714.13. The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The actual filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA /25, or PTO/AIA /26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to www.uspto.gov/patents/apply/applying-online/eterminal-disclaimer. Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-20 of U.S. Patent No. 12,322,290. Although the claims at issue are not identical, they are not patentably distinct from each other because the patented claims disclose each and every claimed limitation of the instant application’s claims, or obvious variations thereof. See claim mapping below. Instant Application No. 19/225,900 US Patent No. 12,322,290 1. A method comprising: sending, by a processing system including at least one processor, a parking request to an application server for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; receiving, by the processing system, an offer of a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offer comprises presenting information regarding a predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; sending, by the processing system, a selection of a parking spot from among the plurality of parking spots; and receiving, by the processing system, a notification of the parking spot being reserved for the vehicle. 1. A method comprising: obtaining, by a processing system including at least one processor, a parking request for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; offering, by the processing system, a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offering comprises presenting information regarding predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; obtaining, by the processing system, a selection of a parking spot from among the plurality of parking spots; and reserving, by the processing system, the parking spot for the vehicle. 2. The method of claim 1, wherein the at least one of the plurality of parking spots is predicted to be available based upon at least one factor. 2. The method of claim 1, further comprising: predicting the at least one of the plurality of parking spots is to be available based upon at least one factor. 3. The method of claim 2, wherein the at least one factor comprises: an occupancy rate of the at least one of the plurality of parking spots over a period of time; a demand level for parking spots of the parking facility; a demand level for parking spots of a type of parking spot of the at least one of the plurality of parking spots at the parking facility; historic demand levels for the parking spots of at least a portion of the parking facility including the at least one of the plurality of parking spots; historic demand levels for the parking spots of the type of parking spot of the at least one of the plurality of parking spots at the parking facility; an expected departure of a second vehicle occupying the at least one of the plurality of parking spots based upon a user itinerary associated with the second vehicle; a weather prediction; or a scheduled event. 3. The method of claim 2, wherein the at least one factor comprises: an occupancy rate of the at least one of the plurality of parking spots over a period of time; a demand level for parking spots of the parking facility; a demand level for parking spots of a type of parking spot of the at least one of the plurality of parking spots at the parking facility; historic demand levels for the parking spots of at least a portion of the parking facility including the at least one of the plurality of parking spots; historic demand levels for the parking spots of the type of parking spot of the at least one of the plurality of parking spots at the parking facility; an expected departure of a second vehicle occupying the at least one of the plurality of parking spots based upon an user itinerary associated with the second vehicle; a weather prediction; or a scheduled event. 4. The method of claim 3, wherein the type of parking spot is one of a plurality of types of parking spots, wherein the plurality of types of parking spots comprises at least two of: covered parking spots; uncovered parking spots; indoor parking spots; outdoor parking spots; paved parking spots; unpaved parking spots; oversize vehicle parking spots; compact vehicle parking spots; or parking spots with electric vehicle charging stations. 4. The method of claim 3, wherein the type of parking spot is one of a plurality of types of parking spots, wherein the plurality of types of parking spots comprises at least two of: covered parking spots; uncovered parking spots; indoor parking spots; outdoor parking spots; paved parking spots; unpaved parking spots; oversize vehicle parking spots; compact vehicle parking spots; or parking spots with electric vehicle charging stations. 5. The method of claim 2, wherein the predicting is via a predictive model, wherein the at least one factor comprises an input feature of the predictive model, and wherein an output of the predictive model comprises a likelihood of occupancy of the at least one of the plurality of parking spots at a designated future time period. 5. The method of claim 2, wherein the predicting is via a predictive model, wherein the at least one factor comprises an input feature of the predictive model, and wherein an output of the predictive model comprises a likelihood of occupancy of the at least one of the plurality of parking spots at a designated future time period. 6. The method of claim 1, further comprising: receiving additional information relating to occupancy rates of the plurality of parking spots over a period of time. 6. The method of claim 1, further comprising: tracking occupancy rates of the plurality of parking spots over a period of time. 7. The method of claim 1, wherein the offer further comprises presenting additional information regarding a current occupancy of at least one adjacent parking spot to the at least one of the plurality of parking spots. 7. The method of claim 1, wherein the offering further comprises presenting information regarding a current occupancy of at least one adjacent parking spot to the at least one of the plurality of parking spots. 8. The method of claim 1, wherein the information regarding predicted adjacent parking spot occupancy comprises a likelihood of occupancy of at least one adjacent parking spot to the at least one of the plurality of parking spots. 8. The method of claim 1, wherein the information regarding predicted adjacent parking spot occupancy comprises a likelihood of occupancy of at least one adjacent parking spot to the at least one of the plurality of parking spots. 9. The method of claim 8, wherein the likelihood of occupancy of the least one adjacent parking spot is based upon at least one factor. 9. The method of claim 8, wherein the likelihood of occupancy of the least one adjacent parking spot is based upon at least one factor. 10. The method of claim 9, wherein the at least one factor comprises: an occupancy rate of the at least one adjacent parking spot over a period of time; a demand level for parking spots of the parking facility; a demand level for parking spots of a type of parking spot of the at least one adjacent parking spot at the parking facility; historic demand levels for the parking spots of at least a portion of the parking facility including the parking spot and the at least one adjacent parking spot; historic demand levels for the parking spots of the type of parking spot of the at least one adjacent parking spot at the parking facility; an expected departure of a second vehicle occupying the at least one adjacent parking spot based upon a user itinerary associated with the second vehicle; a weather prediction; or a scheduled event. 10. The method of claim 9, wherein the at least one factor comprises: an occupancy rate of the at least one adjacent parking spot over a period of time; a demand level for parking spots of the parking facility; a demand level for parking spots of a type of parking spot of the at least one adjacent parking spot at the parking facility; historic demand levels for the parking spots of at least a portion of the parking facility including the parking spot and the at least one adjacent parking spot; historic demand levels for the parking spots of the type of parking spot of the at least one adjacent parking spot at the parking facility; an expected departure of a second vehicle occupying the at least one adjacent parking spot based upon a user itinerary associated with the second vehicle; a weather prediction; or a scheduled event. 11. The method of claim 9, wherein the likelihood of occupancy of the at least one adjacent parking spot is predicted via a predictive model, wherein the at least one factor comprises an input feature of the predictive model, and wherein an output of the predictive model comprises the likelihood of occupancy of the at least one adjacent parking spot. 11. The method of claim 9, further comprising: predicting the likelihood of occupancy of the at least one adjacent parking spot via a predictive model, wherein the at least one factor comprises an input feature of the predictive model, and wherein an output of the predictive model comprises the likelihood of occupancy of the at least one adjacent parking spot. 12. The method of claim 1, further comprising: receiving an electronic reservation code for the vehicle; sending the electronic reservation code from the vehicle or from a user device associated with the vehicle; and receiving an access to the parking spot in response to the sending the electronic reservation code from the vehicle or from the user device associated with the vehicle. 12. The method of claim 1, further comprising: providing an electronic reservation code for the vehicle; obtaining the electronic reservation code from the vehicle or a user device associated with the vehicle; and providing an access to the parking spot in response to the obtaining of the electronic reservation code from the vehicle or the user device associated with the vehicle. 13. The method of claim 12, wherein the access is provided via a barricade. 13. The method of claim 12, wherein the access is provided via a barricade. 14. The method of claim 1, wherein the parking request includes a preference for at least one of: a type of parking spot; a lesser likelihood of occupancy of adjacent parking spots; a lower cost; a location; or a lesser distance to a reference location. 14. The method of claim 1, wherein the parking request includes a preference for at least one of: a type of parking spot, a lesser likelihood of occupancy of adjacent parking spots; a lower cost; a location; or a lesser distance to a reference location. 15. The method of claim 14, wherein the at least one of the plurality of parking spots in the offer is of the type of parking spot. 15. The method of claim 14, wherein the at least one of the plurality of parking spots that is offered is of the type of parking spot. 16. The method of claim 15, wherein the predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots in the offer comprises a likelihood of occupancy below a threshold likelihood of occupancy. 16. The method of claim 15, wherein the predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots that is offered comprises a likelihood of occupancy below a threshold likelihood of occupancy. 17. The method of claim 1, wherein the at least one of the plurality of parking spots in the offer has a distance below the threshold distance 17. The method of claim 1, wherein the at least one of the plurality of parking spots that is offered has a distance below the threshold distance. 18. The method of claim 1, wherein the offer comprises a map of the parking facility indicating a location of the at least one of the plurality of parking spots. 18. The method of claim 1, wherein the offering comprises presenting a map of the parking facility indicating a location of the at least one of the plurality of parking spots. 19. A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising: sending a parking request to an application server for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; receiving an offer of a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offer comprises presenting information regarding a predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; sending a selection of a parking spot from among the plurality of parking spots; and receiving a notification of the parking spot being reserved for the vehicle. 19. A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising: obtaining a parking request for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; offering a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offering comprises presenting information regarding predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; obtaining a selection of a parking spot from among the plurality of parking spots; and reserving the parking spot for the vehicle. 20. An apparatus comprising: a processing system including at least one processor; and a computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising: sending a parking request to an application server for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; sending a parking request to an application server for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; receiving an offer of a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offer comprises presenting information regarding a predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; sending a selection of a parking spot from among the plurality of parking spots; and receiving a notification of the parking spot being reserved for the vehicle. 20. An apparatus comprising: a processing system including at least one processor; and a computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising: obtaining a parking request for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; offering a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offering comprises presenting information regarding predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; obtaining a selection of a parking spot from among the plurality of parking spots; and reserving the parking spot for the vehicle. Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-20 of U.S. Patent No. 11,935,409. Although the claims at issue are not identical, they are not patentably distinct from each other because the patented claims disclose each and every claimed limitation of the instant application’s claims, or obvious variations thereof. See claim mapping below. Instant Application No. 19/225,900 US Patent No. 11,935,409 1. A method comprising: sending, by a processing system including at least one processor, a parking request to an application server for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; receiving, by the processing system, an offer of a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offer comprises presenting information regarding a predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; sending, by the processing system, a selection of a parking spot from among the plurality of parking spots; and receiving, by the processing system, a notification of the parking spot being reserved for the vehicle. 1. A method comprising: obtaining, by a processing system including at least one processor, a parking request for a vehicle to park at a parking facility; offering, by the processing system, a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available, wherein the offering comprises presenting information regarding predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; obtaining, by the processing system, a selection of a parking spot from among the plurality of parking spots; and reserving, by the processing system, the parking spot for the vehicle. 2. The method of claim 1, wherein the at least one of the plurality of parking spots is predicted to be available based upon at least one factor. 2. The method of claim 1, further comprising: predicting the at least one of the plurality of parking spots is to be available based upon at least one factor. 3. The method of claim 2, wherein the at least one factor comprises: an occupancy rate of the at least one of the plurality of parking spots over a period of time; a demand level for parking spots of the parking facility; a demand level for parking spots of a type of parking spot of the at least one of the plurality of parking spots at the parking facility; historic demand levels for the parking spots of at least a portion of the parking facility including the at least one of the plurality of parking spots; historic demand levels for the parking spots of the type of parking spot of the at least one of the plurality of parking spots at the parking facility; an expected departure of a second vehicle occupying the at least one of the plurality of parking spots based upon a user itinerary associated with the second vehicle; a weather prediction; or a scheduled event. 3. The method of claim 2, wherein the at least one factor comprises: an occupancy rate of the at least one of the plurality of parking spots over a period of time; a demand level for parking spots of the parking facility; a demand level for parking spots of a type of parking spot of the at least one of the plurality of parking spots at the parking facility; historic demand levels for the parking spots of at least a portion of the parking facility including the at least one of the plurality of parking spots; historic demand levels for the parking spots of the type of parking spot of the at least one of the plurality of parking spots at the parking facility; an expected departure of a second vehicle occupying the at least one of the plurality of parking spots based upon an user itinerary associated with the second vehicle; a weather prediction; or a scheduled event. 4. The method of claim 3, wherein the type of parking spot is one of a plurality of types of parking spots, wherein the plurality of types of parking spots comprises at least two of: covered parking spots; uncovered parking spots; indoor parking spots; outdoor parking spots; paved parking spots; unpaved parking spots; oversize vehicle parking spots; compact vehicle parking spots; or parking spots with electric vehicle charging stations. 4. The method of claim 3, wherein the type of parking spot is one of a plurality of types of parking spots, wherein the plurality of types of parking spots comprises at least two of: covered parking spots; uncovered parking spots; indoor parking spots; outdoor parking spots; paved parking spots; unpaved parking spots; oversize vehicle parking spots; compact vehicle parking spots; or parking spots with electric vehicle charging stations. 5. The method of claim 2, wherein the predicting is via a predictive model, wherein the at least one factor comprises an input feature of the predictive model, and wherein an output of the predictive model comprises a likelihood of occupancy of the at least one of the plurality of parking spots at a designated future time period. 5. The method of claim 2, wherein the predicting is via a predictive model, wherein the at least one factor comprises an input feature of the predictive model, and wherein an output of the predictive model comprises a likelihood of occupancy of the at least one of the plurality of parking spots at a designated future time period. 6. The method of claim 1, further comprising: receiving additional information relating to occupancy rates of the plurality of parking spots over a period of time. 6. The method of claim 1, further comprising: tracking occupancy rates of the plurality of parking spots over a period of time. 7. The method of claim 1, wherein the offer further comprises presenting additional information regarding a current occupancy of at least one adjacent parking spot to the at least one of the plurality of parking spots. 7. The method of claim 1, wherein the offering further comprises presenting information regarding a current occupancy of at least one adjacent parking spot to the at least one of the plurality of parking spots. 8. The method of claim 1, wherein the information regarding predicted adjacent parking spot occupancy comprises a likelihood of occupancy of at least one adjacent parking spot to the at least one of the plurality of parking spots. 8. The method of claim 1, wherein the information regarding predicted adjacent parking spot occupancy comprises a likelihood of occupancy of at least one adjacent parking spot to the at least one of the plurality of parking spots. 9. The method of claim 8, wherein the likelihood of occupancy of the least one adjacent parking spot is based upon at least one factor. 9. The method of claim 8, wherein the likelihood of occupancy of the least one adjacent parking spot is based upon at least one factor. 10. The method of claim 9, wherein the at least one factor comprises: an occupancy rate of the at least one adjacent parking spot over a period of time; a demand level for parking spots of the parking facility; a demand level for parking spots of a type of parking spot of the at least one adjacent parking spot at the parking facility; historic demand levels for the parking spots of at least a portion of the parking facility including the parking spot and the at least one adjacent parking spot; historic demand levels for the parking spots of the type of parking spot of the at least one adjacent parking spot at the parking facility; an expected departure of a second vehicle occupying the at least one adjacent parking spot based upon a user itinerary associated with the second vehicle; a weather prediction; or a scheduled event. 10. The method of claim 9, wherein the at least one factor comprises: an occupancy rate of the at least one adjacent parking spot over a period of time; a demand level for parking spots of the parking facility; a demand level for parking spots of a type of parking spot of the at least one adjacent parking spot at the parking facility; historic demand levels for the parking spots of at least a portion of the parking facility including the parking spot and the at least one adjacent parking spot; historic demand levels for the parking spots of the type of parking spot of the at least one adjacent parking spot at the parking facility; an expected departure of a second vehicle occupying the at least one adjacent parking spot based upon an user itinerary associated with the second vehicle; a weather prediction; or a scheduled event. 11. The method of claim 9, wherein the likelihood of occupancy of the at least one adjacent parking spot is predicted via a predictive model, wherein the at least one factor comprises an input feature of the predictive model, and wherein an output of the predictive model comprises the likelihood of occupancy of the at least one adjacent parking spot. 11. The method of claim 9, further comprising: predicting the likelihood of occupancy of the at least one adjacent parking spot via a predictive model, wherein the at least one factor comprises an input feature of the predictive model, and wherein an output of the predictive model comprises the likelihood of occupancy of the at least one adjacent parking spot. 12. The method of claim 1, further comprising: receiving an electronic reservation code for the vehicle; sending the electronic reservation code from the vehicle or from a user device associated with the vehicle; and receiving an access to the parking spot in response to the sending the electronic reservation code from the vehicle or from the user device associated with the vehicle. 12. The method of claim 1, further comprising: providing an electronic reservation code for the vehicle; obtaining the electronic reservation code from the vehicle or a user device associated with the vehicle; and providing an access to the parking spot in response to the obtaining of the electronic reservation code from the vehicle or the user device associated with the vehicle. 13. The method of claim 12, wherein the access is provided via a barricade. 13. The method of claim 12, wherein the access is provided via a barricade. 14. The method of claim 1, wherein the parking request includes a preference for at least one of: a type of parking spot; a lesser likelihood of occupancy of adjacent parking spots; a lower cost; a location; or a lesser distance to a reference location. 14. The method of claim 1, wherein the parking request includes a preference for at least one of: a type of parking spot; a lesser likelihood of occupancy of adjacent parking spots; a lower cost; a location; or a lesser distance to a reference location. 15. The method of claim 14, wherein the at least one of the plurality of parking spots in the offer is of the type of parking spot. 15. The method of claim 14, wherein the at least one of the plurality of parking spots that is offered is of the type of parking spot. 16. The method of claim 15, wherein the predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots in the offer comprises a likelihood of occupancy below a threshold likelihood of occupancy. 16. The method of claim 15, wherein the predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots that is offered comprises a likelihood of occupancy below a threshold likelihood of occupancy. 17. The method of claim 1, wherein the at least one of the plurality of parking spots in the offer has a distance below the threshold distance 17. The method of claim 14, wherein the at least one of the plurality of parking spots that is offered has a distance to the reference location below a threshold distance. 18. The method of claim 1, wherein the offer comprises a map of the parking facility indicating a location of the at least one of the plurality of parking spots. 18. The method of claim 1, wherein the offering comprises presenting a map of the parking facility indicating a location of the at least one of the plurality of parking spots. 19. A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising: sending a parking request to an application server for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; receiving an offer of a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offer comprises presenting information regarding a predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; sending a selection of a parking spot from among the plurality of parking spots; and receiving a notification of the parking spot being reserved for the vehicle. 19. A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising: obtaining a parking request for a vehicle to park at a parking facility; offering a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available, wherein the offering comprises presenting information regarding predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; obtaining a selection of a parking spot from among the plurality of parking spots; and reserving the parking spot for the vehicle. 20. An apparatus comprising: a processing system including at least one processor; and a computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising: sending a parking request to an application server for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; sending a parking request to an application server for a vehicle to park at a parking facility, wherein the parking request includes a user's destination after parking; receiving an offer of a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available and is within a threshold distance to the user's destination after parking, wherein the offer comprises presenting information regarding a predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; sending a selection of a parking spot from among the plurality of parking spots; and receiving a notification of the parking spot being reserved for the vehicle. 20. An apparatus comprising: a processing system including at least one processor; and a computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising: obtaining a parking request for a vehicle to park at a parking facility; offering a plurality of parking spots of the parking facility for the vehicle, wherein at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available, wherein the offering comprises presenting information regarding predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility; obtaining a selection of a parking spot from among the plurality of parking spots; and reserving the parking spot for the vehicle. Conclusion There are no prior art rejections of claims 1-20; however, they are not allowable due to the double patenting rejections as discussed above. The prior art made of record and not relied upon is considered pertinent to applicant's disclosure: US 2023/0005368 (Higuchi et al.); US 2017/0236418 (Bostick et al.); US 9,711,048 (Knas et al.); US 9,043,083 (Kadowaki et al.); US 2009/0271227 (Hayat) Any inquiry concerning this communication or earlier communications from the examiner should be directed to KERRI L MCNALLY whose telephone number is (571)270-1840. The examiner can normally be reached Monday-Friday, 7:00 am - 3:30 pm. 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, Brian Zimmerman can be reached at 571-272-3059. 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. /KERRI L MCNALLY/Primary Examiner, Art Unit 2686
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Prosecution Timeline

Jun 02, 2025
Application Filed
Jun 25, 2026
Non-Final Rejection mailed — §DP (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12681173
IMPROVED PRESENCE DETECTION
2y 0m to grant Granted Jul 14, 2026
Patent 12658052
DRIVING ASSISTANCE DEVICE
1y 9m to grant Granted Jun 16, 2026
Patent 12635605
SENSOR, SENSOR HOUSING, AND ATTACHMENT FOR MONITORING BIN PRODUCT LEVEL
2y 4m to grant Granted May 26, 2026
Patent 12637110
ADAPTING AN AUTONOMOUS VEHICLE'S NAVIGATION BASED ON FEEDBACK FROM A COOLING SYSTEM
1y 7m to grant Granted May 26, 2026
Patent 12618956
OBJECT DETECTION DEVICE AND OBJECT DETECTION METHOD
1y 10m to grant Granted May 05, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

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Prosecution Projections

1-2
Expected OA Rounds
80%
Grant Probability
92%
With Interview (+11.2%)
2y 3m (~1y 2m remaining)
Median Time to Grant
Low
PTA Risk
Based on 1058 resolved cases by this examiner. Grant probability derived from career allowance rate.

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