A Survey of the Simultaneous Localization and Mapping(Slam)Based on Rgb-D Camera
In recent years,the simultaneous localization and mapping(slam)have received increasing attention from computer vision and robotics,and multitudinous of results have been proposed.This paper gives a review of the slam framework base on rgb-d camera.Then,the paper provides insight into the developments on slam issues,such as visual odometry,back-end optimization and,loop closing,to address the major limitations still facing the rgb-d slam.Some latest results on the slam based on the rgb-d camera are also summarized.Finally,some conclusions are drawn,and several future research hot spots highlighted.
Survey Computer Vision,RGB-D Camera,SLAM,Visual Odometry
Zhifan Zhang Mengna Liu Chen Diao Shengyong Chend
Tianjin University of Technology,Tianjin 300384,China
国际会议
西安
英文
48-58
2019-01-19(万方平台首次上网日期,不代表论文的发表时间)