Fusion of visual odometry and place recognition for SLAM in extreme conditions
Published 2022 View Full Article
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Title
Fusion of visual odometry and place recognition for SLAM in extreme conditions
Authors
Keywords
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Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-30
DOI
10.1007/s10489-021-03050-6
References
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Related references
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- ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras
- (2017) Raul Mur-Artal et al. IEEE Transactions on Robotics
- A Novel Visual-Vocabulary-Translator-Based Cross-Domain Image Matching
- (2017) Jing Li et al. IEEE Access
- A neural network based retrainable framework for robust object recognition with application to mobile robotics
- (2010) Su-Yong An et al. APPLIED INTELLIGENCE
- A new approach to simultaneous localization and map building with implicit model learning using neuro evolutionary optimization
- (2010) Jeong-Gwan Kang et al. APPLIED INTELLIGENCE
- Appearance-only SLAM at large scale with FAB-MAP 2.0
- (2010) Mark Cummins et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
- (2008) Mark Cummins et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
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