Function allocation for automated driving systems

US12037023B2 · kind B2 · utility

Assignee

• CAVH LLC · US

Inventors

• Bin Ran · Fitchburg, US
• Tianyi Chen · Redmond, US
• Shuoxuan Dong · Jalan Pedongkelan, US
• Yang Cheng · Middleton, US
• Mingheng Zhang · Madison, US
• Xiaotian Li · Madison, US
• Shen Li · Madison, US
• Kunsong Shi · Madison, US
• Haotian Shi · Madison, US
• Yifan Yao · Madison, US
• Yanghui Mo · Madison, US
• Hongjie Liu · Livingston, US
• Keshu Wu · Madison, US
• Ran Yi · Madison, US

Key dates

• Filing date: May 24, 2021
• Grant date: Jul 16, 2024
• Expiry date: Jul 20, 2042

Classification

• Technology area (CPC B): Performing Operations; Transporting
• CPC primary: B60W2756/10
• WIPO field: Control
• WIPO sector: Instruments

Abstract

The technology described herein provides Automated Driving System (ADS) methods and systems for coordinating and/or fusing intelligence and functions between Connected Automated Vehicles (CAV) and ADS infrastructure to provide target levels of automated driving. The technology provides systems and methods for function allocation comprising sensing allocation, prediction and decision-making allocation, and control allocation. The ADS operates across various intelligence levels, identified during vehicle operation. The function allocation system dynamically allocates essential functions based on the intelligence levels of both vehicles and infrastructures, ensuring that ADS achieves a system intelligence that surpasses that of individual components. This methodical function distribution enables ADS to manage both vehicles and infrastructures in a manner that enhances vehicular operations and control. The system further integrates a fusion system to support various ADS functions through data integration from multiple sources, which optimizes the driving tasks performed by CAVs.