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
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, 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.
File Structure
QCR-Fast-Slow-Event-Dataset
├── ablation_study_components.tar.gz
├── ablation_study_slow_changes_freq.tar.gz
├── grid_search
│ ├── aedats
│ │ ├── +0+0+0_h_qry.aedat.tar.gz
│ │ ├── ...
│ │ ├── ... (Raw AEDAT2.0's from 108 traversals)
│ │ ├── ...
│ │ └── -2-2-2_l_ref.aedat.tar.gz
│ └── bags.tar.gz
├── main_experiments
│ ├── default_params.tar.gz
│ ├── Fast_Slow.tar.gz
│ ├── PxBw.tar.gz
│ ├── PxTh.tar.gz
│ └── RfPr.tar.gz
└── README.md
grid_search contains the
Cite us at
Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras
@article{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},
journal={arXiv preprint arXiv:2403.16425},
year={2024}
}
License
This dataset is licensed under the MIT License.