多传感器信息融合在无人驾驶中的研究综述

Research Progress on Multi-Sensor Information Fusion in Unmanned Driving

多传感器信息融合是无人驾驶感知周围环境信息技术中一项行之有效、必不可缺的关键技术。结合近年来无人驾驶的发展情况,介绍了国内外无人驾驶核心传感器的使用现状,重点对无人驾驶中多传感器核心融合算法的研究进展进行综述,提出多传感器信息融合必将是未来无人驾驶车辆传感器应用的发展方向,而基于机器学习算法的研究则更加重要,并提出一些无人驾驶技术面临的问题。

Multi-sensor information fusion is an effective and necessary key technology in self-driving vehicle sensing surrounding environment information technology.Combining with the development of self-driving in recent years,this paper introduces the current use of self-driving core sensors at home and abroad,the study and progress focusing on the core multi-sensor fusion algorithm of the self-driving are reviewed,proposed multi-sensor information fusion will be the future development direction of self-driving vehicle sensor application,and the research based on machine learning algorithms is more important,and some problems self-driving technologies will be encountered are put forward.