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V2V Method and Apparatus for Peripheral Vehicle Location Estimation using V2V and Environment Scanning Sensor

机译:使用v2v和环境扫描传感器的周边车辆位置估计的v2v方法和装置

摘要

Disclosed is a method and a device for estimating a peripheral vehicle using a V2V and a vehicle environment recognition sensor. According to the present invention, the method for estimating a periphery vehicle using the V2V and the vehicle environment recognition sensor includes: a step of estimating the current position of a peripheral vehicle using periphery vehicle dynamic information among BSM information obtained by the V2V or a step of estimating the current position of the peripheral vehicle using opponent information with the peripheral vehicle obtained by the vehicle environment recognition sensor; and a step of calculating the current position of a final peripheral vehicle by fusing the current position of the peripheral vehicle estimated using the opponent information with the peripheral vehicle obtained by the vehicle environment recognition sensor and at least one of the current positions of the peripheral vehicle estimated by using the path history information among the BSM information obtained by the V2V or the current position of the peripheral vehicle estimated by using the peripheral vehicle dynamic information among the BSM information obtained by the V2V. The step of estimating the current position of the peripheral vehicle using the opponent information includes: a step of estimating the current position of the peripheral vehicle using path history information of the peripheral vehicle among BSM information obtained by using the V2V; and a step of estimating the current position of a peripheral vehicle.
机译:公开了一种使用V2V和车辆环境识别传感器来估计外围车辆的方法和设备。根据本发明,使用V2V和车辆环境识别传感器来估计外围车辆的方法包括:使用在通过V2V获得的BSM信息中的外围车辆动态信息来估计外围车辆的当前位置的步骤或步骤。使用由车辆环境识别传感器获得的与周围车辆的对手信息来估计周围车辆的当前位置的步骤;通过将使用对手信息估计的外围车辆的当前位置与由车辆环境识别传感器获得的外围车辆和外围车辆的当前位置中的至少一个进行融合来计算最终外围车辆的当前位置的步骤通过使用由V2V获得的BSM信息中的路径历史信息估计的估计值,或者通过由V2V获得的BSM信息中的利用外围车辆动态信息估计的外围车辆的当前位置估计的值。使用对方信息来估计周边车辆的当前位置的步骤包括:在通过使用V2V获得的BSM信息中,使用周边车辆的路径历史信息来估计周边车辆的当前位置的步骤;估计外围车辆的当前位置的步骤。

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