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基于激光雷达的同时定位与地图构建方法综述 被引量:65

Survey of LiDAR-based SLAM algorithm
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摘要 首先分解激光SLAM的基本框架,分别对前端扫描匹配、后端优化、闭环检测与验证、地图构建四个模块近年来的主流算法进行总结;然后对基于滤波器和基于图优化两种激光SLAM框架下的代表性方案进行深入分析和比较;最后对激光SLAM的发展趋势进行展望。 This paper,firstly,decomposed the basic framework of SLAM based on laser and summarized the mainstream algorithms of four modules from the angle of front-end scan match,back-end optimization,the closed loop detection and validation,and map generation;Then it analyzed and compared the representation scheme under two framework of SLAM,one was based on filter and the other was based on graph optimization;Finally,the paper point out the development trend of laser based SLAM.
作者 危双丰 庞帆 刘振彬 师现杰 Wei Shuangfeng;Pang Fan;Liu Zhenbin;Shi Xianjie(School of Geomatics&Urban Spatial Informatics,Beijing University of Civil Engineering&Architecture,Beijing 102616,China;Engineering Research Center of Representative Building&Architectural Heritage Database for Ministry of Education,Beijing 102616,China;Key Laboratory for Urban Geomatics of National Administration of Surveying,Mapping&Geoinformation,Beijing 102616,China;Beijing Key Laboratory for Architectural Heritage Fine Reconstruction&Health Monitoring,Beijing 102616,China)
出处 《计算机应用研究》 CSCD 北大核心 2020年第2期327-332,共6页 Application Research of Computers
基金 国家自然科学基金资助项目(41601409) 北京市自然科学基金资助项目(8172016) 北京建筑大学市属高校基本科研业务费专项资金资助项目(X18229) 北京建筑大学研究生创新项目(PG2018066,PG2019065,PG2019061).
关键词 激光雷达同时定位与建图 扫描匹配 后端优化 闭环检测与验证 地图构建 laser SLAM scan matching back-end optimization closed loop detection and verification mapping
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