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.

公开(公告)号：US20250150791A1

公开(公告)日：2025-05-08

申请号：US19011131

申请日：2025-01-06

Applicant: CAVH LLC

Inventor： Bin Ran ,  Bingjie Liang ,  Yan Zhao ,  Zhiyu Wang ,  Yang Cheng ,  Shen Li ,  Zhen Zhang ,  Huachun Tan ,  Tianyi Chen ,  Shuoxuan Dong ,  Kunsong Shi ,  Linhui Ye ,  Qin Li ,  Zhijun Chen ,  Linchao Li ,  Linghui Xu ,  Xia Wan ,  Xiaoxuan Chen

IPC: H04W4/44 ,  G08G1/01 ,  H04W4/46 ,  H04W4/80

Abstract: This technology provides systems and methods for a vehicle computing system (VCS) for autonomous driving. This VCS furnishes End-to-End models that provide sensing, prediction, planning, decision-making, and control functions. The VCS executes vehicle control algorithms, trains general AI models, and makes inferences from those AI models. Specifically, a computing subsystem of the VCS performs computation methods that train a tensor-centered model and/or make inferences from a tensor-centered model. Additionally, the VCS gathers data from a roadside unit network, an onboard unit, a cloud platform, a traffic control center/traffic control unit, and a traffic operations center (TOC), thereby enhancing the safety and efficiency of autonomous driving.

公开(公告)号：US20240363005A1

公开(公告)日：2024-10-31

申请号：US18665248

申请日：2024-05-15

Applicant: CAVH LLC

Inventor： Bin Ran ,  Zhiyu Wang ,  Yuan Zheng ,  Can Wang ,  Yang Cheng ,  Tianyi Chen ,  Shen Li ,  Jing Jin ,  Xiaoxuan Chen ,  Fan Ding ,  Zhen Zhang

IPC: G08G1/01 ,  G08G1/017 ,  G08G1/04 ,  G08G1/042 ,  G08G1/07 ,  G08G1/0968 ,  H04L67/00 ,  H04L67/12 ,  H04W84/00

CPC classification number: G08G1/0145 ,  G08G1/0112 ,  G08G1/0129 ,  G08G1/0133 ,  G08G1/017 ,  G08G1/07 ,  G08G1/0968 ,  H04L67/00 ,  G08G1/04 ,  G08G1/042 ,  H04L67/12 ,  H04W84/005

Abstract: The invention provides an autonomous vehicle and intelligent control (AVIC) system with distributed AI computing, which is a component of a Connected Automated Vehicle Highway (CAVH) system. This AVIC system is configured to realize training and application for distributed AI computing by providing automated vehicles (AVs) and/or connected automated vehicles (CAVs) with vehicle-specific control instructions comprising instructions for vehicle longitudinal and lateral position, speed, and steering and control. Detailed and time-sensitive vehicle-specific control instructions comprise control instructions for speed, spacing, lane designation, vehicle following, lane changing, and/or route guidance. Specifically, through the system, CAVs can be effectively and efficiently controlled by the AVIC system. In addition, the AVIC system is configured to provide vehicle-specific control instructions to CAVs and control them through a hierarchy of traffic control centers/traffic control units (TCCs/TCUs) or the combination of TCCs/TCUs and the onboard units (OBUs) with vehicle control modules.

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.