基于激光雷达的前车识别方法研究进展

Research Progress on Front Vehicle Recognition Method Based on Lidar

环境感知技术是无人驾驶领域中的重点研究对象之一,基于摄像头对场景进行采集时,图像缺乏深度信息和空间结构信息。首先,文章对用于前车识别的激光雷达传感器类型及基于激光雷达传感器的前车识别方法做了较为深入的研究;其次分析了各自的优缺点,查找并阅读了大量文献,对国内外的主流研究方法进行综述;最后,阐述了用于前车识别方法研究的激光雷达固态化的发展趋势,整理了用于前车识别的方法以及遇到的问题,并给出相应的建议。研究结果对国内进一步研究基于激光雷达的前车识别方法提供了参考。

Environment perception technology is one of the key research objects in the field of driverless.When the scene is collected based on camera,the image lacks depth information and spatial structure information.Firstly,the types of lidar sensors used for front vehicle recognition and the method of front vehicle recognition based on lidar sensors are deeply studied in this paper;secondly,it analyzes their advantages and disadvantages,searches and reads a lot of literature,and summarizes the mainstream research methods at home and abroad;finally,the development trend of solid-state laser radar used in the research of front vehicle recognition methods is described,the methods and problems encountered for front vehicle recognition are sorted out,and corresponding suggestions are given.The research results provide a reference for further research on the front vehicle recognition method based on lidar in China.