A Survey of Visual SLAM Based on Deep Learning

ZHAO Yang; LIU Guoliang; TIAN Guohui; LUO Yong; WANG Ziren; ZHANG Wei; LI Junwei

doi:10.13973/j.cnki.robot.2017.0889

ZHAO Yang, LIU Guoliang, TIAN Guohui, LUO Yong, WANG Ziren, ZHANG Wei, LI Junwei. A Survey of Visual SLAM Based on Deep Learning[J]. ROBOT, 2017, 39(6): 889-896. DOI: 10.13973/j.cnki.robot.2017.0889

Citation:

ZHAO Yang, LIU Guoliang, TIAN Guohui, LUO Yong, WANG Ziren, ZHANG Wei, LI Junwei. A Survey of Visual SLAM Based on Deep Learning[J]. ROBOT, 2017, 39(6): 889-896. DOI: 10.13973/j.cnki.robot.2017.0889

Citation:

ZHAO Yang, LIU Guoliang, TIAN Guohui, LUO Yong, WANG Ziren, ZHANG Wei, LI Junwei. A Survey of Visual SLAM Based on Deep Learning[J]. ROBOT, 2017, 39(6): 889-896. DOI: 10.13973/j.cnki.robot.2017.0889

A Survey of Visual SLAM Based on Deep Learning

Abstract

Abstract

Latest research progresses of deep learning techniques applied to SLAM (simultaneous localization and mapping) are summarized. In addition, the prominent achievements on inter-frame motion estimation, loop closure detection and semantic SLAM incorporated with deep learning are introduced. Furthermore, the deep learning based SLAM is compared with the traditional ones in detail. Finally, the future research directions of advanced SLAM based on deep learning are discussed.

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