首页> 外国专利> Machine learning system for modifying ADAS behavior to provide optimal vehicle trajectory within the region

Machine learning system for modifying ADAS behavior to provide optimal vehicle trajectory within the region

机译:用于修改ADAS行为的机器学习系统,在该区域内提供最佳车辆轨迹

摘要

PROBLEM TO BE SOLVED: To provide an optimum vehicle behavior in an area. In some embodiments, the method for a connected vehicle transmits V2X data, including customized data describing the customization needs of the connected vehicle, via vehicle-to-everything (V2X) communication. Including that. The method includes receiving vehicle behavior data via the V2X communication that describes the individual optimal behavior of the connected vehicle, which is determined at least in part based on the V2X data. The method includes modifying the operation of the vehicle control system of the connected vehicle based on the vehicle behavior data so that the connected vehicle performs the individual optimum behavior. The execution of the individual optimum behavior by the connected vehicle contributes to the achievement of the overall optimum behavior in the region where the connected vehicle is located while satisfying the customization needs of the connected vehicle. [Selection diagram] Fig. 3
机译:要解决的问题:在一个区域提供最佳的车辆行为。在一些实施例中,通过车辆到一切(V2X)通信,所连接的车辆的方法发送V2X数据,包括描述所连接的车辆的定制需要的定制数据。包括那个。该方法包括通过描述所连接的车辆的各个最佳行为的V2X通信接收车辆行为数据,这至少部分地基于V2X数据确定。该方法包括基于车辆行为数据修改所连接的车辆的车辆控制系统的操作,使得连接的车辆执行各个最佳行为。由连接的车辆执行各个最佳行为有助于实现连接的车辆所在的区域中的整体最佳行为,同时满足所连接的车辆的定制需要。 [选择图]图3

著录项

  • 公开/公告号JP2021046190A

    专利类型

  • 公开/公告日2021-03-25

    原文格式PDF

  • 申请/专利权人 トヨタ自動車株式会社;

    申请/专利号JP20200133731

  • 发明设计人 中村 昭仁;キム ペクキュ;

    申请日2020-08-06

  • 分类号B60W40/02;B60W30;G08G1/09;G06N20;

  • 国家 JP

  • 入库时间 2022-08-24 17:56:04

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