A Survey on Visual SLAM based on Deep Learning

Authors

Ruijun Liu, Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;
Xiangshang Wang, Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;
Zhang Chen, Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;
Bohua Zhang, Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;

Abstract

Abstract: Following the development of computer vision and robotics, visual Simultaneous Localization and Mapping becomes a research focus in the field of unmanned systems. The powerful advantages of deep learning in the image processing offer a huge opportunity to the wide combination of the two fields. The outstanding research achievements of deep learning combined with visual odometry, loop closure detection and semantic Simultaneous Localization and Mapping are summarized. A comparison between the traditional algorithm and method based on deep learning is carried out. The development direction of visual Simultaneous Localization and Mapping based on deep learning is forecasted.

Recommended Citation

Liu, Ruijun; Wang, Xiangshang; Chen, Zhang; and Zhang, Bohua (2020) "A Survey on Visual SLAM based on Deep Learning," Journal of System Simulation: Vol. 32: Iss. 7, Article 5.
DOI: 10.16182/j.issn1004731x.joss.19-VR0466
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss7/5

First Page

1244

Revised Date

2019-12-01

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-VR0466

Last Page

1256

CLC

TP391.9

Recommended Citation

Liu Ruijun, Wang Xiangshang, Zhang Chen, Zhang Bohua. A Survey on Visual SLAM based on Deep Learning[J]. Journal of System Simulation, 2020, 32(7): 1244-1256.

Corresponding Author

Ruijun Liu,

DOI

10.16182/j.issn1004731x.joss.19-VR0466