Prediction-based system and method for trajectory planning of autonomous vehicles
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, generating a proposed trajectory for the host vehicle, using the trained trajectory prediction module to generate predicted trajectories for each of one or more proximate vehicles near the host vehicle based on the proposed host vehicle trajectory, 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.
TUSIMPLE, INC.
G G G G G G
G08G G05D G05D G08G G08G G05D
inventional inventional inventional inventional inventional additional
Yilun Yufei Wutu Xiaomin Guangyu Kai-Chieh Xing Liu Zijie
Chen Zhao Lin Zhang Li Ma Sun Liu Xuan