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Self-recognition of autonomous vehicles in mirrored or reflective surfaces

机译:在镜像或反射表面上对自动驾驶汽车的自我识别

摘要

A controller (102, Fig.1) for an autonomous vehicle 300 receives an image stream from one or more imaging devices (e.g. camera 120, Fig.1) and identifies vehicle images 304a in the image stream (402, Fig.4). The vehicle images are compared to the color, shape, badging, markings, license plate and driver of the autonomous vehicle and if they match with certainty exceeding a threshold then the vehicle image is ignored as a potential obstacle (404-418, Fig.4). The color and shape of a vehicle in a vehicle image may be evaluated first and only if there is a match are other factors such as badging, markings, license plate, and driver considered. The location of a reflective surface 302 that generated the vehicle image may be determined and added to a set of potential obstacles along with vehicle images not matching the autonomous vehicle. Steering, accelerator or brake (122, Fig.1) may be actuated to avoid collision. The autonomous vehicles own reflection is thus not falsely identified as a collision hazard.
机译:用于自动驾驶车辆300的控制器(102,图1)从一个或多个成像设备(例如,照相机120,图1)接收图像流,并在图像流(402,图4)中识别车辆图像304a。将车辆图像与自动驾驶车辆的颜色,形状,标志,标记,牌照和驾驶员进行比较,如果确定性超过阈值,则将车辆图像视为潜在障碍(404-418,图4) )。可以首先评估车辆图像中车辆的颜色和形状,并且只有在匹配时才考虑其他因素,例如标志,标记,车牌和驾驶员。可以确定生成车辆图像的反射表面302的位置,并将其与不匹配自动驾驶车辆的车辆图像一起添加到一组潜在障碍物中。可以致动转向,加速器或制动器(图1中的122)以避免碰撞。因此,自动驾驶车辆自身的反射不会被错误地识别为碰撞危险。

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