US 12,092,742 B2
Encoding LiDAR scanned data for generating high definition maps for autonomous vehicles
Lin Yang, San Carlos, CA (US); and Mark Damon Wheeler, Saratoga, CA (US)
Assigned to NVIDIA CORPORATION, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Aug. 18, 2023, as Appl. No. 18/452,322.
Application 18/452,322 is a continuation of application No. 17/646,293, filed on Dec. 28, 2021, granted, now 11,754,716.
Application 17/646,293 is a continuation of application No. 16/524,696, filed on Jul. 29, 2019, granted, now 11,209,548.
Application 16/524,696 is a continuation of application No. 15/857,417, filed on Dec. 28, 2017, granted, now 10,401,500, issued on Sep. 3, 2019.
Claims priority of provisional application 62/441,065, filed on Dec. 30, 2016.
Prior Publication US 2023/0393276 A1, Dec. 7, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G01S 17/89 (2020.01); B60R 11/04 (2006.01); G01C 11/02 (2006.01); G01C 21/00 (2006.01); G01C 21/30 (2006.01); G01S 17/86 (2020.01); G01S 17/90 (2020.01); G01S 17/931 (2020.01); G05D 1/00 (2024.01); G06F 16/174 (2019.01); G06T 9/00 (2006.01); G06T 9/20 (2006.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); H04N 19/17 (2014.01)
CPC G01S 17/89 (2013.01) [G01C 21/30 (2013.01); G01C 21/3841 (2020.08); G01C 21/3848 (2020.08); G01C 21/3867 (2020.08); G01S 17/86 (2020.01); G01S 17/90 (2020.01); G01S 17/931 (2020.01); G06T 9/001 (2013.01); G06T 9/20 (2013.01); G06V 20/582 (2022.01); G06V 20/584 (2022.01); G06V 20/588 (2022.01); H04N 19/17 (2014.11); B60R 11/04 (2013.01); G01C 11/025 (2013.01); G05D 1/0274 (2013.01); G06F 16/1744 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
generating one or more image representations based at least on sensor data corresponding to at least a portion of an environment and obtained using one or more sensors, respective sizes of the one or more image representations being based at least on one or more properties corresponding to at least one of the one or more sensors; and
compressing the one or more image representations to generate one or more compressed image representations, wherein the one or more compressed image representations are used for generating a map that is used by a vehicle for navigation.