US 12,190,541 B2
Automated vehicle pose validation
Philippe Babin, Pittsburgh, PA (US); Kunal Anil Desai, San Francisco, CA (US); Tao V. Fu, Pittsburgh, PA (US); Gang Pan, Fremont, CA (US); and Xxx Xinjilefu, Pittsburgh, PA (US)
Assigned to Volkswagen Group of America Investments, LLC, Reston, VA (US)
Filed by Argo AI, LLC, Pittsburgh, PA (US)
Filed on Nov. 17, 2023, as Appl. No. 18/513,247.
Application 18/513,247 is a continuation of application No. 17/541,094, filed on Dec. 2, 2021, granted, now 11,861,865.
Prior Publication US 2024/0087163 A1, Mar. 14, 2024
Int. Cl. G01S 17/89 (2020.01); B60W 60/00 (2020.01); G01S 7/48 (2006.01); G06T 7/73 (2017.01)
CPC G06T 7/74 (2017.01) [B60W 60/001 (2020.02); G01S 7/4808 (2013.01); G01S 17/89 (2013.01); B60W 2420/408 (2024.01); G06T 2207/10028 (2013.01); G06T 2207/30252 (2013.01)] 17 Claims
OG exemplary drawing
 
7. A system, comprising:
a memory; and
at least one processor coupled to the memory and configured to perform operations comprising:
estimating a pose for an autonomous vehicle based on features extracted from a reference point cloud as compared to semantic features representing surroundings of the autonomous vehicle, wherein the reference point cloud represents data from a plurality of lidar sweeps and is extracted from a high-definition map; and
validating the pose estimate as a pose of the autonomous vehicle based on first coordinates derived from a query point cloud generated from a real-time lidar sweep of the surroundings evaluated against second coordinates derived from the reference point cloud by at least one of: aligning the first coordinates with the second coordinates, identifying difference between the first coordinates and the second coordinates, or merging the first coordinates with the second coordinates; and
causing the autonomous vehicle to perform a driving maneuver based on the validated pose estimate.