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---
datasets:
- gokulbnr/QCR-Fast-Slow-Event-Dataset
language:
- en
tags:
- robotics
arXiv:
- https://arxiv.org/abs/2403.16425
license: mit
---
# Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras
[![Project Video](https://img.shields.io/badge/Video-Watch-red)](https://www.youtube.com/watch?v=8D9gtHqteEQ)[![Website](https://img.shields.io/badge/Website-Visit-blue)](https://gokulbnr.github.io/publication/dvs-biasing-vpr)[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/gokulbnr/fast-slow-biased-event-vpr)[![Preprint](https://img.shields.io/badge/Preprint-Read-orange)](https://arxiv.org/abs/2403.16425)
Welcome to the official **QCR-Fast-Slow-Event-Dataset** dataset repository attached to the paper [**Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras**](https://arxiv.org/abs/2403.16425), to be presented at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). This work introduces feedback control algorithms that dynamically change bias parameters for event-cameras to stabilize event-rate in an online manner. The work reports improvements in visual place recognition performances across variations in environment brightness conditions, validated through comprehensive real-time evaluations using a new [QCR-Fast-and-Slow-Event-Dataset](https://huggingface.co/datasets/gokulbnr/QCR-Fast-Slow-Event-Dataset).
## File Structure
QCR-Fast-Slow-Event-Dataset
β”œβ”€β”€ ablation_study_components.tar.gz
β”œβ”€β”€ ablation_study_slow_changes_freq.tar.gz
β”œβ”€β”€ grid_search
β”‚Β Β  β”œβ”€β”€ aedats
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ +0+0+0_h_qry.aedat.tar.gz
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ ...
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ ... (Raw AEDAT2.0's from 108 traversals)
β”‚Β Β  β”‚Β Β  β”œβ”€β”€ ...
β”‚Β Β  β”‚Β Β  └── -2-2-2_l_ref.aedat.tar.gz
β”‚Β Β  └── bags.tar.gz
β”œβ”€β”€ main_experiments
β”‚Β Β  β”œβ”€β”€ default_params.tar.gz
β”‚Β Β  β”œβ”€β”€ Fast_Slow.tar.gz
β”‚Β Β  β”œβ”€β”€ PxBw.tar.gz
β”‚Β Β  β”œβ”€β”€ PxTh.tar.gz
β”‚Β Β  └── RfPr.tar.gz
└── README.md
More information on how to use the dataset can be found in the official codebase repository on [GitHub](https://github.com/gokulbnr/fast-slow-biased-event-vpr).
### Cite us at
[Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras](https://arxiv.org/abs/2403.16425)
```
@inproceedings{nair2024enhancing,
title={Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras},
author={Nair, Gokul B and Milford, Michael and Fischer, Tobias},
booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year={2024}
}
```
## License
This dataset is licensed under the [MIT License](https://opensource.org/licenses/MIT).