Invention Grant
- Patent Title: Jointly learnable behavior and trajectory planning for autonomous vehicles
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Application No.: US16825049Application Date: 2020-03-20
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Publication No.: US11755014B2Publication Date: 2023-09-12
- Inventor: Raquel Urtasun , Abbas Sadat , Mengye Ren , Andrei Pokrovsky , Yen-Chen Lin , Ersin Yumer
- Applicant: UATC, LLC
- Applicant Address: US CA San Francisco
- Assignee: UATC, LLC
- Current Assignee: UATC, LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G05D1/02
- IPC: G05D1/02 ; G05D1/00

Abstract:
Systems and methods for generating motion plans for autonomous vehicles are provided. An autonomous vehicle can include a machine-learned motion planning system including one or more machine-learned models configured to generate target trajectories for the autonomous vehicle. The model(s) include a behavioral planning stage configured to receive situational data based at least in part on the one or more outputs of the set of sensors and to generate behavioral planning data based at least in part on the situational data and a unified cost function. The model(s) includes a trajectory planning stage configured to receive the behavioral planning data from the behavioral planning stage and to generate target trajectory data for the autonomous vehicle based at least in part on the behavioral planning data and the unified cost function.
Public/Granted literature
- US20210200212A1 Jointly Learnable Behavior and Trajectory Planning for Autonomous Vehicles Public/Granted day:2021-07-01
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