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    Autonomous Vehicle and Cloud Control System
    2.
    发明申请
    Autonomous Vehicle and Cloud Control System 有权

    公开(公告)号：US20220375335A1

    公开(公告)日：2022-11-24

    申请号：US17840237

    申请日：2022-06-14

    申请人： CAVH LLC

    发明人： 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分类号： G08G1/01 ,  G08G1/0968 ,  G08G1/0967 ,  G08G1/16

    摘要： 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.

    VEHICLE INTELLIGENT UNIT
    3.
    发明申请
    VEHICLE INTELLIGENT UNIT 有权

    公开(公告)号：US20220332337A1

    公开(公告)日：2022-10-20

    申请号：US17718443

    申请日：2022-04-12

    申请人： CAVH LLC

    发明人： Bin Ran ,  Kegang Zhao ,  Hanchu Li ,  Mingheng Zhang ,  Shen Li ,  Yang Cheng ,  Zhijun Chen ,  Jie Ye ,  Shuoxuan Dong ,  Haotian Shi

    IPC分类号： B60W50/06 ,  B60W60/00

    摘要： Provided herein is technology relating to automated driving and particularly, but not exclusively, to a Vehicle Intelligent Unit (VIU) configured to provide vehicle operations and control for Connected Automated Vehicles (CAV) and, more particularly, to a VIU configured to connect with a Collaborative Automated Driving System (CADS) and manage and/or control information exchange between CAV and CADS and manage and/or control CAV lateral and longitudinal movements, including vehicle following, lane changing, and route guidance.

    Function allocation for automated driving systems
    6.
    发明授权
    Function allocation for automated driving systems 有权

    公开(公告)号：US12037023B2

    公开(公告)日：2024-07-16

    申请号：US17328625

    申请日：2021-05-24

    申请人： CAVH LLC

    发明人： 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

    IPC分类号： B60W60/00 ,  G08G1/01

    CPC分类号： B60W60/0027 ,  G08G1/0112 ,  G08G1/0116 ,  G08G1/0145 ,  B60W2556/45 ,  B60W2756/10

    摘要： 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.