Enhancing Railway Obstacle Detection System Based on Incremental Learning

Qiushi Guo, Bin Cao, Dehao Hao, Cheng Wang, Lijun Chen, Peng Yan

2025

Abstract

Obstacle detection systems face challenges related to the Catastrophic forgetting problem, where old obstacles may be misclassified when training new unseen obstacles. Re-training a model from scratch for every new obstacle is often impractical. In this work, we propose a continual learning-based approach to efficiently update the model without repeatedly retraining on previous data, while simultaneously mitigating catastrophic forgetting. Experimental results demonstrate the effectiveness of our proposed method.

Paper Citation

in Harvard Style

Guo Q., Cao B., Hao D., Wang C., Chen L. and Yan P. (2025). Enhancing Railway Obstacle Detection System Based on Incremental Learning. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 413-420. DOI: 10.5220/0013268300003941

in Bibtex Style

@conference{vehits25,
author={Qiushi Guo and Bin Cao and Dehao Hao and Cheng Wang and Lijun Chen and Peng Yan},
title={Enhancing Railway Obstacle Detection System Based on Incremental Learning},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={413-420},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013268300003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Enhancing Railway Obstacle Detection System Based on Incremental Learning
SN - 978-989-758-745-0
AU - Guo Q.
AU - Cao B.
AU - Hao D.
AU - Wang C.
AU - Chen L.
AU - Yan P.
PY - 2025
SP - 413
EP - 420
DO - 10.5220/0013268300003941
PB - SciTePress