VEHICLE SAFETY SYSTEM FOR AUTONOMOUS DRIVING

    公开(公告)号:US20250159443A1

    公开(公告)日:2025-05-15

    申请号:US19020225

    申请日:2025-01-14

    Applicant: CAVH LLC

    Abstract: This invention presents a vehicle safety system (VSS) for autonomous vehicles (AVs) utilizing an onboard unit (OBU) capable of communicating with various entities, comprising roadside units (RSUs), other OBUs, and cloud platforms. The OBU incorporates a safety subsystem designed to implement proactive, active, and passive safety measures. The proactive safety measures comprise incident prediction and warnings. The active safety measures comprise emergency braking, and the passive safety measures comprise incident response and dynamic routing. This VSS can be further enhanced by incorporating sensing and processing capabilities of the RSU network or the cloud platform, enabling distributed and integrated safety functions and improved environmental awareness. The system aims to enhance AV safety by addressing incidents before, during, and after their occurrence through comprehensive safety measures at a system level, comprising a vehicle centric system, a vehicle-road system, or a vehicle cloud system.

    DISTRIBUTED COMPUTING FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20240355203A1

    公开(公告)日:2024-10-24

    申请号:US18762995

    申请日:2024-07-03

    Applicant: CAVH LLC

    CPC classification number: G08G1/096783 G08G1/0116 G08G1/0145 G08G1/096708

    Abstract: This invention presents an automated driving system with distributed computing (ADS-DC). During the operation of a connected automated vehicle (CAV), some or all of its automated driving capabilities for sensing, prediction, planning, decision-making, or control may be downgraded due to long-tail events or malfunctions. The intelligent roadside toolbox (IRT) functions as an edge server or a cloud, and can supplement CAV's sensing functions, prediction and management functions, planning and decision-making functions, and vehicle control functions by providing customized, on-demand, and dynamic computing resources and functions to the CAV. In addition, the IRT computing functions provide the computation support for sensing, prediction, planning, decision-making, and/or control functions of said CAV. Namely, the IRT functions as an edge server or a cloud to provide processing, training or optimization of CAV driving models as well as facilitate the implementation of the driving models in the CAV.

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