Progress and Applications of Visual SLAM

Abstract

Visual SLAM provides mapping and self-localization results of a robot in an unknown environment based on visual sensor,which has the advantages of small volume,low power consumption,and richness of information acquisition.Visual SLAM is critical and significant in supporting of robots’ automated and intelligent applications.This paper presents the key techniques of visual SLAM,summarizes the current status of visual SLAM research,and analyzes the new trends of visual SLAM research and development.Finally,status and prospect of visual SLAM application in restricted environments,such as deep space,indoor scene and so on,are discussed.