测绘学报 ›› 2018, Vol. 47 ›› Issue (6): 770-779.doi: 10.11947/j.AGCS.2018.20170652
邸凯昌1, 万文辉1, 赵红颖2, 刘召芹1, 王润之1, 张飞舟2
收稿日期:2017-11-20
修回日期:2018-03-28
出版日期:2018-06-20
发布日期:2018-06-21
通讯作者:
张飞舟
E-mail:zhangfz@pku.edu.cn
作者简介:邸凯昌(1967-),男,博士,研究员,博士生导师,主要研究方向为行星遥感制图与导航定位。E-mail:dikc@radi.ac.cn
基金资助:DI Kaichang1, WAN Wenhui1, ZHAO Hongying2, LIU Zhaoqin1, WANG Runzhi1, ZHANG Feizhou2
Received:2017-11-20
Revised:2018-03-28
Online:2018-06-20
Published:2018-06-21
Supported by:摘要： 视觉SLAM技术依靠体积小、功耗低、信息获取丰富的视觉传感器，为未知环境下的机器人提供环境地图及自身在地图中的定位结果，对机器人自动化、智能化应用有着重要意义。本文介绍了视觉SLAM方法的关键技术，总结了目前视觉SLAM的研究现状，分析了当前视觉SLAM研究的主要趋势，最后讨论了视觉SLAM技术在深空、室内等受限环境下的应用现状与前景。
中图分类号:
邸凯昌, 万文辉, 赵红颖, 刘召芹, 王润之, 张飞舟. 视觉SLAM技术的进展与应用[J]. 测绘学报, 2018, 47(6): 770-779.
DI Kaichang, WAN Wenhui, ZHAO Hongying, LIU Zhaoqin, WANG Runzhi, ZHANG Feizhou. Progress and Applications of Visual SLAM[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(6): 770-779.
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