BASL-AD SLAM: A Robust Deep-Learning Feature-Based Visual SLAM System With Adaptive Motion Model-Reference-Cited by-同舟云学术

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BASL-AD SLAM: A Robust Deep-Learning Feature-Based Visual SLAM System With Adaptive Motion Model

Published:2024-09 Issue:9 Volume:25 Page:11794-11804
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Han Junyu¹^ORCID,Dong Ruifang¹^ORCID,Kan Jiangming¹^ORCID

Affiliation:

1. School of Technology, Beijing Forestry University, Beijing, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10659279/10475131.pdf?arnumber=10475131

Reference36 articles.

1. Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames

2. DP-SLAM: A visual SLAM with moving probability towards dynamic environments

3. VIDO: A Robust and Consistent Monocular Visual-Inertial-Depth Odometry

4. Rein-SLAM: Narrow the Gaps Between the Matching Task and SLAM System

5. DF-SLAM: A deep-learning enhanced visual SLAM system based on deep local features;Kang;arXiv:1901.07223,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial structure comparison based RGB-D SLAM in dynamic environments;Multimedia Tools and Applications;2024-08-28

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