| CPC G06V 30/274 (2022.01) [G01S 17/42 (2013.01); G01S 17/58 (2013.01); G01S 17/89 (2013.01); G06F 18/21 (2023.01); G06T 7/10 (2017.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06V 20/58 (2022.01); B60W 60/001 (2020.02); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2554/4026 (2020.02); B60W 2554/4029 (2020.02); B60W 2554/404 (2020.02); G06T 2207/20084 (2013.01); G06T 2207/30261 (2013.01)] | 20 Claims |

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1. A method, comprising:
receiving a first semantic image, the first semantic image comprising a first object;
associating at least one first lidar point with the first object;
determining a predicted location for the first object at a previous point in time based at least in part on the at least one first lidar point;
identifying a second object of a second semantic image that corresponds to the first object based at least in part on the predicted location of the first object at the previous point in time;
identifying at least one second lidar point associated with the second object, wherein the at least one second lidar point corresponds to the previous point in time;
generating a virtual point for the second object using the at least one second lidar point; and
determining at least one mobility parameter of the first object based at least in part on the generated virtual point.
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