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Authors: Shanxing Ma and Jan Aelterman

Affiliation: TELIN-IPI, Ghent University – imec, Sint-Pietersnieuwstraat, Ghent, Belgium

Keyword(s): Autonomous Driving, Object Detection, Bayes’ Theorem, Lens Flare.

Abstract: Autonomous driving has the potential of reducing traffic accidents, and object detection plays a key role. This paper focuses on the study of object detection in the presence of lens flare. We analyze the impact of lens flare on object detection in autonomous driving tasks and propose a lens flare adaptation method based on Bayesian reasoning theory to optimize existing object detection models. This allows us to adjust the detection scores to re-rank the detections of detection models based on the intensity of lens flare and achieve a higher average precision. Furthermore, this method only requires simple modifications based on the detection results of the existing object detection models, making it easier to deploy on existing devices.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ma, S. and Aelterman, J. (2024). Lens Flare-Aware Detector in Autonomous Driving. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 341-348. DOI: 10.5220/0012309900003660

@conference{visapp24,
author={Shanxing Ma. and Jan Aelterman.},
title={Lens Flare-Aware Detector in Autonomous Driving},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2024},
pages={341-348},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012309900003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Lens Flare-Aware Detector in Autonomous Driving
SN - 978-989-758-679-8
IS - 2184-4321
AU - Ma, S.
AU - Aelterman, J.
PY - 2024
SP - 341
EP - 348
DO - 10.5220/0012309900003660
PB - SciTePress

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