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METHOD AND COMPUTING DEVICE FOR SPECIFYING TRAFFIC LIGHT OF INTEREST IN AUTONOMOUS DRIVING SYSTEM

机译:用于指定自动驾驶系统中兴趣的交通光的方法和计算设备

摘要

A method for specifying a target traffic light of an autonomous vehicle, the method comprising: (a) When the driving route of the autonomous vehicle is set in a state in which map data including absolute position information of a plurality of traffic lights is obtained, the computing device generates the absolute position information of the autonomous vehicle on the map data and the map data specifying a traffic light closest to the autonomous vehicle from among a plurality of traffic lights existing on the driving route as a target traffic light with reference to; (b) when a video image corresponding to the driving direction of the autonomous vehicle is input, the computing device is configured to refer to the absolute position information of the autonomous vehicle and the absolute position information of a traffic light of interest calculating relative position information of a target traffic light, and setting a region of interest (ROI) corresponding to the target traffic light on the video image with reference to the relative position information; and (c) detecting, by the computing device, the traffic light of interest located on the video image through image analysis with reference to the ROI, and recognizing the signal state of the traffic light of interest. computing device used.
机译:一种用于指定自主车辆的目标业务光的方法,该方法包括:(a)当在获得包括多个交通灯的绝对位置信息的地图数据的地图数据的状态下设置了自动车辆的驱动路径时,计算设备在地图数据上生成自主车辆的绝对位置信息,并将最接近自主车辆的交通光从驱动路线上存在的多个交通灯中指定最靠近自主车辆的地图数据作为目标交通灯,参考; (b)当输入对应于自主车辆的驱动方向的视频图像时,计算设备被配置为指代自主车辆的绝对位置信息和计算相对位置信息的流利的流量的绝对位置信息在目标交通灯中,并参考相对位置信息设置对应于视频图像上的目标业务灯的感兴趣区域(ROI); (c)通过计算设备通过计算设备检测,通过参考ROI通过图像分析来检测位于视频图像上的利息,并识别流利的交通光的信号状态。计算设备使用。

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