Planning feedback based decision improvement system for autonomous driving vehicle

US10802484B2 · kind B2 · utility

Assignee

• BAIDU USA LLC · US

Inventors

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

Key dates

• Filing date: Nov 14, 2016
• Grant date: Oct 13, 2020
• Expiry date: Dec 20, 2037

Classification

• Technology area (CPC B): Performing Operations; Transporting
• CPC primary: B60W30/00
• WIPO field: Control
• WIPO sector: Instruments

Abstract

In one embodiment, systems and methods are disclosed for a planning-driven framework for an driving vehicle (ADV) driving decision system. Driving decisions are classified into at least seven categories, including: conservative decision, aggressive decision, conservative parameters, aggressive parameters, early decision, late decision, and non-decision problem. Using the outputs of an ADV decision planning module, an ADV driving decision problem is identified, categorized, and diagnosed. A local driving decision improvement can be determined and executed in a short time frame on the ADV. For a long term solution, if needed, the driving decision problem can be uploaded to an analytics server. The driving decision problems from a large plurality of ADVs can be aggregated and analyzed for improving the ADV decisions system for all ADVs.