公开(公告)号：US20240331529A1

公开(公告)日：2024-10-03

申请号：US18742133

申请日：2024-06-13

Applicant: CAVH LLC

Inventor： Bin Ran ,  Zhiyu Wang ,  Renfei Wu ,  Junfeng Jiang ,  Yang Cheng ,  Keshu Wu ,  Yifan Yao ,  Tianyi Chen ,  Haotian Shi ,  Shen Li ,  Kunsong Shi ,  Zhen Zhang ,  Fan Ding ,  Huachun Tan ,  Yuankai Wu ,  Shuoxuan Dong ,  Linhui Ye ,  Xiaotian Li

IPC: G08G1/01 ,  G08G1/0967 ,  G08G1/0968 ,  G08G1/16

CPC classification number: G08G1/0116 ,  G08G1/0145 ,  G08G1/096725 ,  G08G1/0968 ,  G08G1/164 ,  G08G1/166 ,  G08G1/167

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.

公开(公告)号：US20250087081A1

公开(公告)日：2025-03-13

申请号：US18960208

申请日：2024-11-26

Applicant: CAVH LLC

Inventor： Bin Ran ,  Bingjie Liang ,  Yan Zhao ,  Zhiyu Wang ,  Junfeng Jiang ,  Yang Cheng ,  Yifan Yao ,  Keshu Wu ,  Tianyi Chen ,  Haotian Shi ,  Shen Li ,  Kunsong Shi ,  Zhen Zhang ,  Fan Ding ,  Huachun Tan ,  Yuankai Wu ,  Shuoxuan Dong ,  Linhui Ye ,  Xiaotian Li

IPC: G08G1/01 ,  G08G1/0967 ,  G08G1/0968 ,  G08G1/16

Abstract: The invention provides systems and methods for a function-based computing power allocation system (FCPAS), which is a component of an Intelligent Road Infrastructure System (IRIS). The FCPAS incorporates advanced computing capabilities that effectively allocate computational power for prediction, planning, and decision making functions. Specifically, through the FCPAS, an AV can acquire additional computational resources for vehicle prediction, planning, and decision-making functions, thereby enabling safe and efficient autonomous driving. Additionally, tailored to different traffic scenarios, the FCPAS can allocate data and computational resources (including but not limited to CPU and GPU) for vehicle automation.