Invention Grant
- Patent Title: Iterative closest point process based on lidar with integrated motion estimation for high definition maps
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Application No.: US16194226Application Date: 2018-11-16
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Publication No.: US11353589B2Publication Date: 2022-06-07
- Inventor: Gregory William Coombe , Chen Chen , Derik Schroeter , Jeffrey Minoru Adachi , Mark Damon Wheeler
- Applicant: DeepMap Inc.
- Applicant Address: US CA Palo Alto
- Assignee: DeepMap Inc.
- Current Assignee: DeepMap Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Maschoff Brennan
- Main IPC: G01S17/89
- IPC: G01S17/89 ; G01S17/58 ; G01S7/48 ; G05D1/00 ; G01S7/00 ; G01S17/86 ; G01S17/42

Abstract:
A system align point clouds obtained by sensors of a vehicle using kinematic iterative closest point with integrated motions estimates. The system receives lidar scans from a lidar mounted on the vehicle. The system derives point clouds from the lidar scan data. The system iteratively determines velocity parameters that minimize an aggregate measure of distance between corresponding points of the plurality of pairs of points. The system iteratively improves the velocity parameters. The system uses the velocity parameters for various purposes including for building high definition maps used for navigating the vehicle.
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