Autonomous Vehicle and Cloud Control System

    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

    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.

    CLOUD-BASED FUNCTION ALLOCATION SYSTEM FOR DISTRIBUTED DRIVING INTELLIGENCE

    公开(公告)号:US20240409114A1

    公开(公告)日:2024-12-12

    申请号:US18809933

    申请日:2024-08-20

    Applicant: CAVH LLC

    Abstract: Provided herein is technology relating to a function allocation system (FAS) that deploys artificial intelligence models for a connected automated highway (CAH) system and a connected automated vehicle (CAV) system to distribute driving intelligence between the CAV system and the CAH system. The FAS comprises a communication module, a data module, and a computing module. The computing module is configured to analyse scenes using sensing data, determine automated driving function requirements, deploy function allocation methods, and analyse CAH system and CAV system functions. The function allocation methods provide analysis, guidance, and optimization capabilities for sensing, decision-making, and control functions. The FAS allocates automated driving functions to the CAV system and the CAH system based on their respective intelligence levels. The technology aims to enhance automated driving and ensure driving safety by leveraging function allocation models and algorithms for optimal function distribution between vehicles and the infrastructure.

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