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激光扫描匹配方法研究综述
引用本文:宗文鹏,李广云,李明磊,王力,李帅鑫.激光扫描匹配方法研究综述[J].中国光学,2018,11(6):914-930.
作者姓名:宗文鹏  李广云  李明磊  王力  李帅鑫
作者单位:信息工程大学, 河南 郑州 450001
基金项目:国家自然科学基金项目(No.41274014,No.41501491)
摘    要:激光扫描匹配是利用激光雷达进行导航、定位与地图构建的基础,本文对各类激光扫描匹配方法进行了综述。将现有方法归纳为基于点的扫描匹配方法、基于特征的扫描匹配方法和基于数学特性的扫描匹配方法 3类,系统总结了相应类型的常见方法;对典型的算法及其改进算法进行了梳理,并指出了存在的主要问题和发展趋势;介绍了激光扫描匹配方法性能评价和对比的最新研究进展,最后,展望了激光扫描匹配技术未来的研究方向。

关 键 词:激光扫描匹配  点云配准  同步定位与地图构建  激光雷达
收稿时间:2017-12-25

A survey of laser scan matching methods
ZONG Wen-peng,LI Guang-yun,LI Ming-lei,WANG Li,LI Shuai-xin.A survey of laser scan matching methods[J].Chinese Optics,2018,11(6):914-930.
Authors:ZONG Wen-peng  LI Guang-yun  LI Ming-lei  WANG Li  LI Shuai-xin
Institution:Information Engineering University, Zhengzhou 450001, China
Abstract:Laser scan matching is a foundation for navigation, localization and mapping using Light Detection and Ranging(LiDAR). Various laser scan matching methods are reviewed in detail in this paper. The existing methods are divided into three categories:point-based scan matching method, feature-based scan matching method and mathematical property-based scan matching method, and the common algorithms of corresponding categories are summarized systematically. The typical algorithms and their improved algorithms are outlined, the main issues and development trends are discussed. Then, the latest research progress of performance evaluation and comparison of laser scan matching methods is introduced. Finally, the future research directions of laser scan matching technology are prospected.
Keywords:laser scan matching  point cloud registration  SLAM  LiDAR
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