Data-driven prediction-based system and method for trajectory planning of autonomous vehicles

US10649458B2 · kind B2 · utility

Assignee

• TUSIMPLE, INC. · US

Inventors

• Xing Sun · San Diego, US
• Wutu Lin · San Diego, US
• Liu Liu · San Diego, US
• Kai-Chieh Ma · San Diego, US
• Zijie Xuan · Kino, US
• Yufei Zhao · San Diego, US

Key dates

• Filing date: Sep 7, 2017
• Grant date: May 12, 2020
• Expiry date: Sep 30, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G08G1/166
• WIPO field: Transport
• WIPO sector: Mechanical engineering

Abstract

A data-driven prediction-based system and method for trajectory planning of autonomous vehicles are disclosed. A particular embodiment includes: generating a first suggested trajectory for an autonomous vehicle; generating predicted resulting trajectories of proximate agents using a prediction module; scoring the first suggested trajectory based on the predicted resulting trajectories of the proximate agents; generating a second suggested trajectory for the autonomous vehicle and generating corresponding predicted resulting trajectories of proximate agents, if the score of the first suggested trajectory is below a minimum acceptable threshold; and outputting a suggested trajectory for the autonomous vehicle wherein the score corresponding to the suggested trajectory is at or above the minimum acceptable threshold.