Effect of Weather Conditions and Obstructions on Vehicle Model, Logo, and License Plate Recognition Systems Using Deep Learning

Vehicle recognition systems are used in various sectors of our modern society. Environmental factors greatly affect the efficiency of these systems. This study aims to determine the effect of weather conditions such as direct sunlight, cloudy weather, and rain on a YOLO based system's ability to detect a vehicle's model, logo, and license plate.

Authors

Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1109/iccae64891.2025.10980600
Primary Topic
Vehicle License Plate Recognition
Type
article
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article

Effect of Weather Conditions and Obstructions on Vehicle Model, Logo, and License Plate Recognition Systems Using Deep Learning

Marloun P. Sejera, Yitzak Wheimdal E. Foz, Jacob Dylan D. Soliman
Vehicle License Plate Recognition
article

Effect of Weather Conditions and Obstructions on Vehicle Model, Logo, and License Plate Recognition Systems Using Deep Learning

Marloun P. Sejera, Yitzak Wheimdal E. Foz, Jacob Dylan D. Soliman
article en

Abstract

Vehicle recognition systems are used in various sectors of our modern society. Environmental factors greatly affect the efficiency of these systems. This study aims to determine the effect of weather conditions such as direct sunlight, cloudy weather, and rain on a YOLO based system's ability to detect a vehicle's model, logo, and license plate.

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Vehicle License Plate Recognition
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Effect of Weather Conditions and Obstructions on Vehicle Model, Logo, and License Plate Recognition Systems Using Deep Learning — Marloun P. Sejera, Yitzak Wheimdal E. Foz, et al. · (2025) | TGRS Research Map | TGRS