用于自动驾驶汽车的激光雷达传感器

M. Tummala, P. A.
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引用次数: 0

摘要

技术的进步导致了自动驾驶汽车等现代汽车技术。这需要传感器收集附近物体和周围环境的数据,以便识别车道并做出决定。特斯拉、Waymo和其他成功的企业在开发自动驾驶汽车时使用了摄像头,而不是激光雷达传感器(光探测和测距)。利用激光雷达可以解决相机性能随光照条件变化的缺点。激光雷达传感器有助于3D地图绘制,使汽车能够在可预测的环境中行驶。使用摄像头来监控正常的驾驶环境可能会很困难,因为它们包含的功能范围很广,但激光雷达包含红外光,这是一个解决方案,可以解决雾、雨天和各种纹理等问题。开发由计算机视觉驱动的传感器可以为未来的自动驾驶汽车带来更多的环境感知。本研究讨论了激光雷达传感器在自动驾驶汽车中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LiDAR Sensor for Self-Driving Cars
Progressive technological development results in modern automotive technology such as self-driving automobiles. These require sensors to collect data about nearby objects and the surroundings in order to identify lanes and make decisions. Instead of LiDAR sensors (Light Detection and Ranging), Tesla, Waymo, and other successful businesses have employed cameras for developing autonomous vehicles. The disadvantage of camera performance changing with lighting conditions can be solved by using LiDAR. The LiDAR sensor aids in 3D mapping, allowing cars to travel in a predictable environment. The use of cameras for monitoring normal driving circumstances might be difficult because of the large range of features they include, but LiDAR contains infrared light, which is a solution for concerns such as fog, rainy weather, and varied textures. Developing sensors driven by computer vision can lead to more environmental sensing for self-driving automobiles in the future. This study discusses the use of LiDAR sensors in autonomous cars.
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