Loop Closure Detection for Visual SLAM Based on Sparse Representation
Author:
Affiliation:
1. Chongqing University of Posts and Telecommunications Chongqing,Chong Qing,China,400065
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727967.pdf?arnumber=9727967
Reference20 articles.
1. A speeded-up online incremental vision-based loop-closure detection for long-term SLAM
2. Visual vocabulary tree with pyramid TF-IDF scoring match scheme for loop closure detection;li;Acta Autom Sinica,2011
3. Loop closure detection for visual SLAM based on stacked convolutional autoencoder;zhang;Control and Decision,2019
4. A Bayesian approach for place recognition
5. FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
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