Roadside edge computing system for autonomous vehicles

US12333932B2 · kind B2 · utility

Assignee

• CAVH LLC · US

Inventors

• Bin Ran · Fitchburg, US
• Bocheng An · Fitchburg, US
• Zhi Zhou · Fitchburg, US
• Min Li · San Diego, US
• Keshu Wu · Madison, US
• Yang Cheng · Middleton, US
• Yifan Yao · Madison, US
• Haotian Shi · Madison, US
• Tianyi Chen · Redmond, US
• Shen Li · Madison, US
• Kunsong Shi · Madison, US
• Zhen Zhang · Madison, US
• Fan Ding · Madison, US
• Huachun Tan · Madison, US
• Yuankai Wu · Madison, US
• Shuoxuan Dong · Jalan Pedongkelan, US
• Linhui Ye · Jalan Pedongkelan, US
• Xiaotian Li · Madison, US

Key dates

• Filing date: Jun 4, 2024
• Grant date: Jun 17, 2025
• Expiry date: Jun 4, 2044

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04W4/44
• WIPO field: Control
• WIPO sector: Instruments

Abstract

The invention provides a roadside computing system (RCS), or an edge computing system, for an autonomous vehicle. The RCS comprises a hierarchy of roadside unit (RSU) and an onboard unit (OBU) in an individual vehicle. The RSU comprises a data processing module and a communication module, and is capable of generating guidance information and targeted instructions for individual vehicle. The data processing module of the RSU comprises two processors: an External Object Calculating Module (EOCM) and an AI processing unit. Thus, the RCS utilizes roadside edge computing power and AI models to support autonomous driving for the vehicle. The OBU comprises a data processing module, a communication module, and a vehicle control module, and is capable of generating vehicle-specific targeted instruction for the vehicle based on guidance information and targeted instructions received from RSUs, and controlling the vehicle based on vehicle-specific targeted instruction.