https://github.com/wh200720041/srlcd
fast loop closure detection (online visual place recognition) via saliency re-identification IROS 2020
https://github.com/wh200720041/srlcd
localization loop recognition slam
Last synced: 16 days ago
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fast loop closure detection (online visual place recognition) via saliency re-identification IROS 2020
- Host: GitHub
- URL: https://github.com/wh200720041/srlcd
- Owner: wh200720041
- License: gpl-3.0
- Created: 2020-02-17T02:17:37.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-03-13T12:59:49.000Z (about 4 years ago)
- Last Synced: 2025-03-26T00:02:50.602Z (about 1 month ago)
- Topics: localization, loop, recognition, slam
- Language: C++
- Homepage:
- Size: 6.28 MB
- Stars: 98
- Watchers: 5
- Forks: 17
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SRLCD
Online Visual Place Recognition via Saliency Re-identification IROS 2020
**Author:** [Wang Han](http://wanghan.pro), 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](https://www.learnopencv.com/install-opencv3-on-windows/).
### 2.3. Eigen
Follow [Eigen Installation](https://eigen.tuxfamily.org/dox/GettingStarted.html).
## 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}
}
```