Patent №
US 10,782,693
Granted
2020-09-22
Filed 2017
Owner
TUSIMPLE
Lab
—
AI components
5
ml · vision · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15805983
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.
AI classification
Ownership
TUSIMPLE
assignment · 474260227
Assignors
ZHANG, XIAOMIN, CHEN, YILUN, LI, GUANGYU, SUN, XING, LIN, WUTU, LIU, LIU, MA, KAI-CHIEH, XUAN, ZIJIE, ZHAO, YUFEI, ZHANG, XIAOMIN, CHEN, YILUN, LI, GUANGYU, +6 more
On an employer assignment, the assignors are typically the inventors.