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公开(公告)号:US12008893B2
公开(公告)日:2024-06-11
申请号:US17840243
申请日:2022-06-14
Applicant: CAVH LLC
Inventor: Bin Ran , Yang Cheng , Tianyi Chen , Yifan Yao , Keshu Wu , 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 systems and methods for an autonomous vehicle (AV) control system comprising an onboard unit (OBU) and a roadside unit (RSU), which are two components of an Intelligent Road Infrastructure System (IRIS). This integrated vehicle-road system provides sensing, prediction, decision-making, and control instructions for specific vehicles at a microscopic level. Specifically, through the AV control system, an AV can be effectively and efficiently controlled by the AV itself and/or by the RSU. The AV control system provides individual vehicles with detailed time-sensitive control instructions for vehicles to fulfill driving tasks. In addition, the RSU conducts behavior prediction for individual vehicles at a microscopic level from 1 to 10 milliseconds, which is critical for connected and automated vehicle (CAV) operations.
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公开(公告)号:US20220375335A1
公开(公告)日:2022-11-24
申请号:US17840237
申请日:2022-06-14
Applicant: CAVH LLC
Inventor: Bin Ran , Yang Cheng , Tianyi Chen , Yifan Yao , Keshu Wu , Haotian Shi , Shen Li , Kunsong Shi , Zhen Zhang , Fan Ding , Huachun Tan , Yuankai Wu , Shuoxuan Dong , Linhui Ye , Xiaotian Li
IPC: G08G1/01 , G08G1/0968 , G08G1/0967 , G08G1/16
Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services. The IRIS manages one or more of the following function categories: sensing, transportation behavior prediction and management, planning and decision making, and vehicle control. IRIS is supported by real-time wired and/or wireless communication, power supply networks, and cyber safety and security services.
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公开(公告)号:US20210311491A1
公开(公告)日:2021-10-07
申请号:US17192529
申请日:2021-03-04
Applicant: CAVH LLC
Inventor: Shen Li , Bin Ran , Yang Cheng , Tianyi Chen , Xiaotian Li , Shuoxuan Dong , Kunsong Shi , Haotian Shi , Yifan Yao , Ran Yi , Keshu Wu , Yang Zhou
Abstract: Provided herein is technology relating to transportation operations and management services and particularly, but not exclusively, to systems and methods for an intelligent roadside toolbox (IRT) that facilitates vehicle operations and control for distributed driving systems (DDS).
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公开(公告)号:US12260746B2
公开(公告)日:2025-03-25
申请号:US18227548
申请日:2023-07-28
Applicant: CAVH LLC
Inventor: Bin Ran , Bingjie Liang , Yan Zhao , 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: G08G1/00 , G08G1/01 , G08G1/0967 , G08G1/0968 , G08G1/16
Abstract: Provided herein is a technology for an Autonomous Vehicle Intelligent System (AVIS), which facilitates vehicle operations and control for autonomous driving. The AVIS and related methods provide vehicles with vehicle-specific information for a vehicle to perform driving tasks such as car following, lane changing, and route guidance. The AVIS comprises an onboard unit (OBU), wherein the OBU comprises a communication module communicating with one or more of other autonomous vehicles (AV), a roadside unit (RSU), a cloud platform, and a traffic control center/traffic control unit (TCC/TCU). The AVIS implements one or more of the following functions: sensing, prediction, decision-making, and vehicle control using onboard information and vehicle-specific information received from other AVs, the RSU, the cloud platform, and/or the TCC/TCU.
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公开(公告)号:US20250095480A1
公开(公告)日:2025-03-20
申请号:US18960202
申请日:2024-11-26
Applicant: CAVH LLC
Inventor: Bin Ran , Bingjie Liang , Yan Zhao , Haozhan Ma , Renfei Wu , 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 computing power allocation system for autonomous driving (CPAS-AD), which is a component of an Intelligent Road Infrastructure System (IRIS). The CPAS-AD incorporates advanced computing capabilities that effectively allocate computational power for sensing, prediction, planning, decision-making, and control functions to enable end-to-end driving functions. In addition to the vehicle, the CPAS-AD can acquire additional computation resources from one or more of: (a) a roadside unit (RSU) network, (b) a cloud platform, (c) a traffic control center/traffic control unit (TCC/TCU), and (d) a traffic operations center (TOC). Additionally, tailored to different traffic scenarios, the CPAS-AD can allocate data and computation resources (including but not limited to CPU and GPU) for vehicle sensing, prediction, planning, decision-making, and control functions, thereby enabling safe and efficient autonomous driving.
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公开(公告)号:US11881101B2
公开(公告)日:2024-01-23
申请号:US17741903
申请日:2022-05-11
Applicant: CAVH LLC
Inventor: Bin Ran , Yang Cheng , Tianyi Chen , Shen Li , Kunsong Shi , Yifan Yao , Keshu Wu , 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 , G08G1/0968 , G08G1/096725 , G08G1/164 , G08G1/166 , G08G1/167
Abstract: The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services. The IRIS manages one or more of the following function categories: sensing, transportation behavior prediction and management, planning and decision making, and vehicle control. IRIS is supported by real-time wired and/or wireless communication, power supply networks, and cyber safety and security services.
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公开(公告)号:US20240386793A1
公开(公告)日:2024-11-21
申请号:US18733475
申请日:2024-06-04
Applicant: CAVH LLC
Inventor: Bin Ran , Bocheng An , Zhi Zhou , Min Li , Keshu Wu , Yang Cheng , Yifan Yao , Haotian Shi , Tianyi Chen , 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 a roadside computing system (RCS), or an edge computing system, for an autonomous vehicle. The RCS comprises a hierarchy of roadside unit (RSU) and an onboard unit (OBU) in an individual vehicle. The RSU comprises a data processing module and a communication module, and is capable of generating guidance information and targeted instructions for individual vehicle. The data processing module of the RSU comprises two processors: an External Object Calculating Module (EOCM) and an AI processing unit. Thus, the RCS utilizes roadside edge computing power and AI models to support autonomous driving for the vehicle. The OBU comprises a data processing module, a communication module, and a vehicle control module, and is capable of generating vehicle-specific targeted instruction for the vehicle based on guidance information and targeted instructions received from RSUs, and controlling the vehicle based on vehicle-specific targeted instruction.
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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.
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公开(公告)号:US12037023B2
公开(公告)日:2024-07-16
申请号:US17328625
申请日:2021-05-24
Applicant: CAVH LLC
Inventor: Bin Ran , Tianyi Chen , Shuoxuan Dong , Yang Cheng , Mingheng Zhang , Xiaotian Li , Shen Li , Kunsong Shi , Haotian Shi , Yifan Yao , Yanghui Mo , Hongjie Liu , Keshu Wu , Ran Yi
CPC classification number: B60W60/0027 , G08G1/0112 , G08G1/0116 , G08G1/0145 , B60W2556/45 , B60W2756/10
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.
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公开(公告)号:US20240005779A1
公开(公告)日:2024-01-04
申请号:US18227541
申请日:2023-07-28
Applicant: CAVH LLC
Inventor: Bin Ran , Yuan Zheng , Can Wang , 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 , G08G1/16 , G08G1/0968 , G08G1/0967
CPC classification number: G08G1/0116 , G08G1/167 , G08G1/0145 , G08G1/0968 , G08G1/166 , G08G1/096725 , G08G1/164
Abstract: Provided herein is a technology for an autonomous vehicle cloud system (AVCS). The AVCS provides sensing, prediction, decision-making, and/or control instructions for specific vehicles at a microscopic level using data from one or more of other vehicles, a roadside unit, cloud-based platform, or traffic control center/traffic control unit. Specifically, the autonomous vehicles are effectively and efficiently operated and controlled by the AVCS. The AVCS provides individual vehicles with detailed time-sensitive control instructions for vehicles to fulfill driving tasks. The AVCS is configured to predict individual vehicle behavior and provide planning and decision-making at a microscopic level to improve AV operations. In addition, the AVCS is configured to provide one or more of virtual traffic light management, travel demand assignment, traffic state estimation, and platoon control.
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