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Remote Sensing
Volume 15
Issue 11
10.3390/rs15112740
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Review

Review of Visual Simultaneous Localization and Mapping Based on Deep Learning

by
Yao Zhang
,
Yiquan Wu
*,
Kang Tong
,
Huixian Chen
and
Yubin Yuan
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(11), 2740; https://doi.org/10.3390/rs15112740
Submission received: 13 April 2023 / Revised: 10 May 2023 / Accepted: 22 May 2023 / Published: 25 May 2023
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Abstract

Due to the limitations of LiDAR, such as its high cost, short service life and massive volume, visual sensors with their lightweight and low cost are attracting more and more attention and becoming a research hotspot. As the hardware computation power and deep learning develop by leaps and bounds, new methods and ideas for dealing with visual simultaneous localization and mapping (VSLAM) problems have emerged. This paper systematically reviews the VSLAM methods based on deep learning. We briefly review the development process of VSLAM and introduce its fundamental principles and framework. Then, we focus on the integration of deep learning and VSLAM from three aspects: visual odometry (VO), loop closure detection, and mapping. We summarize and analyze the contribution and weakness of each algorithm in detail. In addition, we also provide a summary of widely used datasets and evaluation metrics. Finally, we discuss the open problems and future directions of combining VSLAM with deep learning.
Keywords: simultaneous localization and mapping; machine vision; deep learning; visual odometry; loop closure detection; mapping simultaneous localization and mapping; machine vision; deep learning; visual odometry; loop closure detection; mapping

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MDPI and ACS Style

Zhang, Y.; Wu, Y.; Tong, K.; Chen, H.; Yuan, Y. Review of Visual Simultaneous Localization and Mapping Based on Deep Learning. Remote Sens. 2023, 15, 2740. https://doi.org/10.3390/rs15112740

AMA Style

Zhang Y, Wu Y, Tong K, Chen H, Yuan Y. Review of Visual Simultaneous Localization and Mapping Based on Deep Learning. Remote Sensing. 2023; 15(11):2740. https://doi.org/10.3390/rs15112740

Chicago/Turabian Style

Zhang, Yao, Yiquan Wu, Kang Tong, Huixian Chen, and Yubin Yuan. 2023. "Review of Visual Simultaneous Localization and Mapping Based on Deep Learning" Remote Sensing 15, no. 11: 2740. https://doi.org/10.3390/rs15112740

APA Style

Zhang, Y., Wu, Y., Tong, K., Chen, H., & Yuan, Y. (2023). Review of Visual Simultaneous Localization and Mapping Based on Deep Learning. Remote Sensing, 15(11), 2740. https://doi.org/10.3390/rs15112740

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