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:
Jun. 10, 2025
Filed:
Jun. 13, 2024
Cavh Llc, Fitchburg, WI (US);
Bin Ran, Fitchburg, WI (US);
Zhiyu Wang, Fitchburg, WI (US);
Renfei Wu, Fitchburg, WI (US);
Junfeng Jiang, Fitchburg, WI (US);
Yang Cheng, Middleton, WI (US);
Keshu Wu, Madison, WI (US);
Yifan Yao, Madison, WI (US);
Tianyi Chen, Madison, WI (US);
Haotian Shi, Madison, WI (US);
Shen Li, Madison, WI (US);
Kunsong Shi, Madison, WI (US);
Zhen Zhang, Madison, WI (US);
Fan Ding, Madison, WI (US);
Huachun Tan, Madison, WI (US);
Yuankai Wu, Madison, WI (US);
Shuoxuan Dong, Basking Ridge, NJ (US);
Linhui Ye, Madison, WI (US);
Xiaotian Li, Madison, WI (US);
CAVH LLC, Fitchburg, WI (US);
Abstract
The invention provides a vehicle AI computing system (VACS) that supports autonomous driving through an Onboard Unit (OBU) for vehicle-based computing and distributed computing based on vehicle-road-cloud. The vehicle-based computing can effectively complete various computational tasks by using onboard computing resources. The distributed computing allows the vehicle to work in collaboration with roadside units (RSUs) and/or the cloud to effectively complete various computational tasks. The VACS features an OBU with a sensing module, a communication module, and a data processing module that integrates data from vehicle sensors, RSUs, and the cloud. The OBU also includes a vehicle control module that helps control the vehicle based on the data of RSU and cloud. The VACS leverages high-performance computation resources to implement end-to-end driving tasks including sensing, prediction, planning and decision-making, and control. The VACS features large-scale parallel data processing by using GPU either onboard or based on vehicle-road-cloud.