IP Library Granted Patent US 12,459,495
Granted Patent B2
US 12,459,495 · App. 18/223,318 · Granted Nov 4, 2025

Methods and systems for mapping a parking area for autonomous parking

Inventors: Anuja Sonalker (Ellicott City, MD); Bohan Wang (Columbia, MD)
B60W30/06G01C21/3682G01C21/3685G01C21/3811H04W4/021
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,459,495
App. No.
18/223,318
Granted
Nov 4, 2025
Kind
B2
Abstract

Aspects relate to systems and methods for mapping a parking area for autonomous parking. An exemplary method includes receiving a point of interest designator for a point of interest, a drop-off location designator for a drop-off location, a parking location designator for a parking location, and a parking path designator for a parking path between the drop-off location and the parking location, receiving survey data of the point of interest from a remote device having at least a locating sensor, wherein survey data includes a drop-off geofence for the drop-off location, a parking geofence for the parking location, and a parking waypath for the parking path, and generating a parking map for the point of interest, wherein the parking map includes the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, and the parking waypath.

Claims (52)

1 . A method of mapping a parking area for autonomous parking, the method comprising:

receiving, using a computing device, a point of interest designator for a point of interest, a drop-off location designator for a drop-off location associated with the point of interest, a parking location designator for a parking location associated with the point of interest, and a parking path designator for a parking path between the drop-off location and the parking location;

receiving, using the computing device, survey data of the point of interest from a remote device having at least a locating sensor, wherein the survey data is generated, as part of a top-down mapping operation, by the remote device based on survey prompts derived from at least one survey designator provided by the computing device, the survey prompts indicating an approximate location at the point of interest and used by the remote device to initiate surveying using the locating sensor, wherein the survey data comprises:

a drop-off geofence for the drop-off location;

a parking geofence for the parking location; and

a parking waypath for the parking path; and

generating, using the computing device, a parking map for the point of interest, wherein the parking map comprises the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, and the parking waypath.

2 . The method of claim 1 , further comprising communicating, using the computing device, the parking map to at least an autonomous vehicle.

3 . The method of claim 1 , further comprising:

receiving, using the computing device, a pick-up location designator for a pick-up location associated with the point of interest and a summoning path designator for a summoning path between the parking location and the pick-up location;

wherein the survey data, further comprises:

a pick-up geofence for the pick-up location; and

a summoning waypath for the summoning path; and

wherein the parking map further comprises the pick-up location designator, the summoning path designator, the pick-up geofence, and the summoning waypath.

4 . The method of claim 3 , wherein the survey data further comprises a survey data structure, wherein the survey data structure comprises the drop-off geofence, the parking geofence, the parking waypath, the pick-up geofence, and the summoning waypath.

5 . The method of claim 1 , wherein the parking waypath further comprises: at least a signage waypoint; and

the parking map further comprises at least a signage designator to the at least a signage waypoint.

6 . The method of claim 1 , further comprising:

receiving, using the computing device, a surveyor identifier and a task identifier from the remote device; and

validating, using the computing device, the surveyor identifier and the task identifier.

7 . The method of claim 1 , further comprising validating, using the computing device, the parking waypath.

8 . The method of claim 7 , wherein validating the parking waypath further comprises: segmenting the parking waypath into a plurality of parking sub-waypaths; and validating at least a parking sub-waypath of the plurality of parking sub-waypaths.

9 . The method of claim 1 , wherein the remote device comprises: a remote computing device; and

the at least a locating sensor communicatively connected to the remote computing device, wherein the at least a locating sensor comprises a global positioning sensor.

10 . The method of claim 1 , further comprising receiving, using the computing device, site-specific driving rules associated with the point of interest and wherein the parking map further comprises the site-specific driving rules.

11 . The method of claim 1 , further comprising:

verifying, using the remote device, the parking waypath.

12 . A system for mapping a parking area for autonomous parking, the system comprising:

a computing device configured to:

receive a point of interest designator for the point of interest, a drop-off location designator for the drop-off location, a parking location designator for the parking location, and a parking path designator for the parking;

receiving survey data of the point of interest from a remote device having at least a locating sensor, wherein the survey data is generated, as part of a top-down mapping operation, by the remote device based on survey prompts derived from at least one survey designator provided by the computing device, the survey prompts indicating an approximate location at the point of interest and used by the remote device to initiate surveying using the locating sensor, wherein the survey data comprises:

a drop-off geofence for a drop off location associated with the point of interest;

a parking geofence for a parking location associated with the point of interest; and

a parking waypath for a parking path between the drop-off location and the parking location;

generate a parking map for the point of interest, wherein the parking map comprises the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, and the parking waypath.

13 . The system of claim 12 , wherein the computing device is further configured to communicate the parking map to at least an autonomous vehicle.

14 . The system of claim 12

wherein the computing device is further configured to:

receive a pick-up location designator for a pick-up location associated with the point of interest and a summoning path designator for a summoning path between the parking location and the pick-up location;

wherein the survey data further comprises:

a pick-up geofence for the pick-up location; and

a summoning waypath for the summoning path; and

wherein the parking map further comprises the pick-up location designator, the summoning path designator, the pick-up geofence, and the summoning waypath.

15 . The system of claim 14 , wherein the survey data further comprises a survey data structure, wherein the survey data structure comprises the drop-off geofence, the parking geofence, the parking waypath, the pick-up geofence, and the summoning waypath; and

upload the survey data structure to the computing device.

16 . The system of claim 12 , wherein the parking waypath further comprises at least a signage waypoint; and

the parking map comprises at least a signage designator to the at least a signage waypoint.

17 . The system of claim 12 , wherein the computing device is further configured to: receive a surveyor identifier and a task identifier, from the remote device; and validate the surveyor identifier and the task identifier.

18 . The system of claim 12 , wherein the computing device is further configured to validate the parking waypath.

19 . The system of claim 18 , wherein validating the parking waypath further comprises: segmenting the parking waypath into a plurality of parking sub-waypaths; and validating at least a parking sub-waypath of the plurality of parking sub-waypaths.

20 . The system of claim 12 , wherein the remote device comprises: a remote computing device; and

the at least a locating sensor communicatively connected to the remote computing device, wherein the at least a locating sensor comprises a global positioning sensor.

Continuity (4)
Continuation 17351685 · Jun 18, 2021
Continuation In Part 16242102 · Jan 8, 2019
Provisional Application 62614847 · Jan 8, 2018
Related Publication 20230356711A1 · Nov 9, 2023
References Cited (34)
US 10106153B1 · Xiao · 2018 [cited by applicant]
US 10354531B1 · Bronder et al. · 2019 [cited by applicant]
US 10663303B2 · Lawrenson et al. · 2020 [cited by applicant]
US 10816346B2 · Wheeler et al. · 2020 [cited by applicant]
US 10942516B2 · Rastoll et al. · 2021 [cited by applicant]
US 10999719B1 · Kaplan · 2021 [cited by applicant]
US 11745727B2 · Sonalker · 2023 [cited by examiner]
US 20160116293A1 · Grover et al. · 2016 [cited by applicant]
US 20160131494A1 · Lee · 2016 [cited by applicant]
US 20160209842A1 · Thakur · 2016 [cited by examiner]
US 20170061632A1 · Lindner et al. · 2017 [cited by applicant]
US 20170138746A1 · Eliassi et al. · 2017 [cited by applicant]
US 20170254654A1 · Nordbruch · 2017 [cited by examiner]
US 20170287170A1 · Perona et al. · 2017 [cited by applicant]
US 20170297625A1 · Irion · 2017 [cited by examiner]
US 20170359314A1 · Mathias et al. · 2017 [cited by applicant]
US 20180046198A1 · Nordbruch et al. · 2018 [cited by applicant]
US 20180188036A1 · Hasberg et al. · 2018 [cited by applicant]
US 20180189716A1 · Crone · 2018 [cited by applicant]
US 20180275661A1 · Glaser · 2018 [cited by applicant]
US 20180301031A1 · Naamani et al. · 2018 [cited by applicant]
US 20190064809A1 · Salter et al. · 2019 [cited by applicant]
US 20190137287A1 · Pazhayampallil et al. · 2019 [cited by applicant]
US 20190137290A1 · Levy et al. · 2019 [cited by applicant]
US 20190147331A1 · Arditi · 2019 [cited by applicant]
US 20190163204A1 · Bai et al. · 2019 [cited by applicant]
US 20190193724A1 · Kim et al. · 2019 [cited by applicant]
US 20190369616A1 · Ostafew · 2019 [cited by applicant]
US 20200034620A1 · Lutterodt · 2020 [cited by applicant]
US 20210180954A1 · Hiyokawa et al. · 2021 [cited by applicant]
CN 108875758A · 2018 [cited by applicant]
Nvidia, End-to-End HD Mapping for Self-Driving Cars, May 24, 2021. [cited by applicant]
Tong Qin, Tongqing Chen, Yilun Chen, Qing Su, AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot, Jul. 8, 2020. [cited by applicant]
Jin Cui et al. “On the Alignment of Safety and security for autonmous vehicles” IARIA (Year: 2017). [cited by applicant]