/SRLCD

fast loop closure detection (online visual place recognition) via saliency re-identification IROS 2020

Primary LanguageC++GNU General Public License v3.0GPL-3.0

SRLCD

Online Visual Place Recognition via Saliency Re-identification IROS 2020

Author: Wang Han, Nanyang Technological University, Singapore

Comparison approach can be found at https://github.com/wh200720041/VRP_Comparison

1. Evaluation

1.1. Example on public dataset (KITTI dataset, TUM dataset, Oxford RobotCar dataset)

1.2. Performance Evaluation

1.3. Comparison

2. Prerequisites

2.1 Platform

Microsoft Visual Studio 2017

2.2 Opencv

Follow Opencv installation.

2.3. Eigen

Follow Eigen Installation.

3. Citation

If you use this work for your research, you may want to cite

@inproceedings{wang2020online,
  author={H. {Wang} and C. {Wang} and L. {Xie}},
  booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, 
  title={Online Visual Place Recognition via Saliency Re-identification}, 
  year={2020},
  volume={},
  number={},
  pages={5030-5036},
  doi={10.1109/IROS45743.2020.9341703}
}