Identifying traffic signs in a hazy environment using a vehicle's viewing distance

Volume 20 No 7 (2022)

Ali Mansour Al-Madani , Dr. Asha Gaikwad , Vivek Mahale , and Dr. Ashok T. Gaikwad

DOI: 10.48047/NQ.2022.20.7.NQ33508

Abstract

Identifying traffic signs in hazy environments is crucial for road safety, but it can be challenging due to reduced visibility. This research proposes a method to improve traffic sign recognition by investigating the relationship between sight distance, haze grade, and traffic sign detection performance.

Keywords

Transportation, Computer Vision, Transformer models, Deep leaning, Detection, Correlation, UV correlation model.

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