DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features-Reference-Cited by-同舟云学术

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DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features

Published:2020-10-24 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Li Dongjiang,Shi Xuesong,Long Qiwei,Liu Shenghui,Yang Wei,Wang Fangshi,Wei Qi,Qiao Fei

Funder

National Natural Science Foundation of China

Beijing Innovation Center for Future Chip

Tsinghua University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09340907.pdf?arnumber=9340907

Cited by 89 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. A Deep Analysis of Visual SLAM Methods for Highly Automated and Autonomous Vehicles in Complex Urban Environment;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. BASL-AD SLAM: A Robust Deep-Learning Feature-Based Visual SLAM System With Adaptive Motion Model;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment With Multiple Sensors for Large-Scale Localization and Mapping;IEEE Robotics and Automation Letters;2024-07

4. ECA-SLAM: A Visual SLAM Utilizing Depth Features and Attention Mechanism;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. DFD-SLAM: Visual SLAM with Deep Features in Dynamic Environment;Applied Sciences;2024-06-06

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