Weather-informed vision enhancement for autonomous vehicles in adverse conditions

Bayramov, Emin and Istenes, Zoltán (2025) Weather-informed vision enhancement for autonomous vehicles in adverse conditions. POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES, 20 (3). pp. 88-95. ISSN 1788-1994

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Abstract

Delivering Advanced Driver Assistance System functionalities depends on acquiring high-resolution image data from vehicles. Adverse weather and nighttime degrade image quality, impacting object detection accuracy. This paper addresses this issue by proposing a novel solution using the vehicle's Global Positioning System location and timestamp to query weather via a weather application programming interface. By obtaining weather details at the time and location of data collection, image quality is enhanced through pre-processing tailored to specific weather conditions. Using the Detection in Adverse Weather Nature dataset, the method improves You Only Look Once version 8 software detection accuracy by up to 15% compared to baseline performance across various weather conditions, enhancing Advanced Driver Assistance System reliability.

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