The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 16, 2024
Filed:
May. 24, 2021
Cavh Llc, Fitchburg, WI (US);
Bin Ran, Fitchburg, WI (US);
Tianyi Chen, Madison, WI (US);
Shuoxuan Dong, Madison, WI (US);
Yang Cheng, Middleton, WI (US);
Mingheng Zhang, Madison, WI (US);
Xiaotian Li, Madison, WI (US);
Shen Li, Madison, WI (US);
Kunsong Shi, Madison, WI (US);
Haotian Shi, Madison, WI (US);
Yifan Yao, Madison, WI (US);
Yanghui Mo, Madison, WI (US);
Hongjie Liu, Madison, WI (US);
Keshu Wu, Madison, WI (US);
Ran Yi, Madison, WI (US);
CAVH LLC, Fitchburg, WI (US);
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.