暴雨、降雪和冰雹等恶劣天气,被视为阻碍无人驾驶走向市场的最终技术难题。因为在这种环境下,目前市面上传感器的准确性将明显下降。尤其在下雪天,道路因结冰或积雪导致反射特性发生变化,摄像头无法识别车道线,从而影响实时导航;而激光雷达在能见度下降后,系统难以绘制出精准的环境地图,障碍物探测受到影响,安全性大打折扣。 Heavy weather such as heavy rains, snowfall and hail are seen as the ultimate technical hurdle that prevents unmanned hands to the market. Because in this environment, the current market accuracy of the sensor will be significantly reduced. Especially on the snowy day, the reflective characteristics of the road caused by ice or snow change, the camera can not identify the lane line, thus affecting the real-time navigation; and laser radar in the visibility decreased, the system is difficult to draw a precise environment map, the obstacle detection by Impact, security greatly reduced.