首页> 外国专利> Motor vehicle driving maneuver e.g. lane change, detecting method, involves defining bayes networks for specifying probability of presence of maneuver based on preset state variables, and calculating probability of presence of maneuver

Motor vehicle driving maneuver e.g. lane change, detecting method, involves defining bayes networks for specifying probability of presence of maneuver based on preset state variables, and calculating probability of presence of maneuver

机译:机动车驾驶操纵车道变化的检测方法,涉及基于预定状态变量定义贝叶斯网络以指定机动存在的可能性,并计算机动存在的可能性

摘要

The method involves defining multiple bayes networks for specifying the probability of the presence of a certain driving maneuver in dependence of predetermined state variables e.g. vehicle speed. The probability of the presence of the driving maneuver is calculated with the bayes network through input of the detected or derived state variables in the bayes network. A self-learning adaptation of a local probability distribution taken place based on a respective driver of a vehicle. An independent claim is also included for a device for automatic detection of driving maneuver of a vehicle.
机译:该方法包括定义多个贝叶斯网络,用于根据预定的状态变量(例如,预定的状态变量)来指定存在某种驾驶操纵的可能性。车速。利用贝叶斯网络通过在贝叶斯网络中检测到的或导出的状态变量的输入来计算存在驾驶动作的可能性。基于车辆的各个驾驶员进行局部概率分布的自学习适配。还包括用于自动检测车辆的驾驶操纵的设备的独立权利要求。

著录项

  • 公开/公告号DE102005043838A1

    专利类型

  • 公开/公告日2007-03-15

    原文格式PDF

  • 申请/专利权人 DEUTSCHES ZENTRUM FUER LUFT- UND RAUMFAHRT E.V.;

    申请/专利号DE20051043838

  • 发明设计人 GERDES ARATI;

    申请日2005-09-13

  • 分类号B60W50/00;B60W10/00;B60W40/10;

  • 国家 DE

  • 入库时间 2022-08-21 20:29:46

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