Invention Grant
- Patent Title: Prediction-based system and method for trajectory planning of autonomous vehicles
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Application No.: US15805983Application Date: 2017-11-07
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Publication No.: US10782693B2Publication Date: 2020-09-22
- Inventor: Xiaomin Zhang , Yilun Chen , Guangyu Li , Xing Sun , Wutu Lin , Liu Liu , Kai-Chieh Ma , Zijie Xuan , Yufei Zhao
- Applicant: TuSimple, Inc.
- Applicant Address: US CA San Diego
- Assignee: TUSIMPLE, INC.
- Current Assignee: TUSIMPLE, INC.
- Current Assignee Address: US CA San Diego
- Agent Paul Liu; Jim Salter
- Main IPC: G05D1/02
- IPC: G05D1/02 ; G05D1/00 ; G08G1/16

Abstract:
A prediction-based system and method for trajectory planning of autonomous vehicles are disclosed. A particular embodiment is configured to: receive training data and ground truth data from a training data collection system, the training data including perception data and context data corresponding to human driving behaviors; perform a training phase for training a trajectory prediction module using the training data; receive perception data associated with a host vehicle; and perform an operational phase for extracting host vehicle feature data and proximate vehicle context data from the perception data, using the trained trajectory prediction module to generate predicted trajectories for each of one or more proximate vehicles near the host vehicle, generating a proposed trajectory for the host vehicle, determining if the proposed trajectory for the host vehicle will conflict with any of the predicted trajectories of the proximate vehicles, and modifying the proposed trajectory for the host vehicle until conflicts are eliminated.
Public/Granted literature
- US20190072965A1 PREDICTION-BASED SYSTEM AND METHOD FOR TRAJECTORY PLANNING OF AUTONOMOUS VEHICLES Public/Granted day:2019-03-07
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