Group driving style learning framework for autonomous vehicles

US10049328B2 · kind B2 · utility

Assignee

• BAIDU USA LLC · US

Inventors

• Yifei Jiang · Sunnyvale, US
• Dong Li · Tangxia, CN
• Jiaming Tao · Sunnyvale, US
• Jiangtao Hu · Sunnyvale, US
• Liyun Li · Qingdao, CN
• Guang Yang · Sunnyvale, US
• Jingao Wang · Sunnyvale, US

Key dates

• Filing date: Oct 13, 2016
• Grant date: Aug 14, 2018
• Expiry date: Oct 13, 2036

Classification

• Technology area (CPC B): Performing Operations; Transporting
• CPC primary: B60W2556/65
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A social driving style learning framework or system for autonomous vehicles is utilized, which can dynamically learn the social driving styles from surrounding vehicles and adopt the driving style as needed. Each of the autonomous vehicles within a particular driving area is equipped with the driving style learning system to perceive the driving behaviors of the surrounding vehicles to derive a set of driving style elements. Each autonomous vehicle transmits the driving style elements to a centralized remote server. The server aggregates the driving style elements collected from the autonomous vehicles to determine a driving style corresponding to that particular driving area. The server transmits the driving style back to each of the autonomous vehicles. The autonomous vehicles can then decide whether to adopt the driving style, for example, to follow the traffic flow with the rest of the vehicles nearby.