Automatic vocabulary and graph verification for accurate loop closure detection-Reference-Cited by-同舟云学术

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Automatic vocabulary and graph verification for accurate loop closure detection

Published:2022-06-10 Issue:7 Volume:39 Page:1069-1084
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:Journal of Field Robotics

Author:

Yue Haosong¹^ORCID,Miao Jinyu¹^ORCID,Chen Weihai¹^ORCID,Wang Wei²,Guo Fanghong³,Li Zhengguo⁴

Affiliation:

1. School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China

2. Department of Computer Science University of Oxford Oxford UK

3. Department of Automation Zhejiang University of Technology Hangzhou China

4. Robotics Department Institute for Infocomm Research Singapore Singapore

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.22088

Reference52 articles.

1. Fast and Incremental Loop Closure Detection Using Proximity Graphs

2. Fast and incremental loop closure detection with deep features and proximity graphs

3. NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

4. Simultaneous localization and mapping (SLAM): part II

5. Speeded-Up Robust Features (SURF)

Cited by 5 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. Cross Fusion of Point Cloud and Learned Image for Loop Closure Detection;IEEE Robotics and Automation Letters;2024-03

2. MATC-Net: Learning compact sequence representation for hierarchical loop closure detection;Engineering Applications of Artificial Intelligence;2023-10

3. Loop Closure Detection Based on Geometry of Semantic Point Cloud;2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA);2023-08-18

4. BEVLCD+: Real-Time and Rotation-Invariant Loop Closure Detection Based on BEV of Point Cloud;IEEE Transactions on Instrumentation and Measurement;2023

5. ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation;IEEE Transactions on Instrumentation and Measurement;2023

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