Eliminating the Interference of the Windshield Wipers on Lane Detection

DOI

10.2991/978-94-6239-713-2_48How to use a DOI?

Keywords

ADAS; Autonomous Self-Driving; Lane Detection; Sliding Window; Hough Transform; Wiper Interference

Abstract

It’s well developed in lane detection techniques for autonomous driving in advanced driver-assistance systems (ADAS). While keeping the vehicle localized in the correct track by detecting lane borders, interference may be caused by the windshield wipers, especially in bad weather conditions. Such annoyance may substantially deteriorate the accuracy of lane detection algorithms. In this paper, an enhanced vision-based detection was investigated to mitigate the interference from the wipers. In this study, the wiper eliminating method was integrated as the preprocess with our lane detection algorithms. There were two algorithms employed in this study: the Sliding Window and the Hough Transform. Both algorithms employed the same image processing steps, which included image thresholding, Gaussian blurring, and Canny edge detection, to enhance lane features over noise. In addition, a region of interest (ROI) was established to segment the relevant road portions to ignore unwanted areas in each video frame. The accuracy and robustness were estimated to evaluate the profits of our wiper elimination process. A video in rainy conditions was used for testing. Experimental results showed a superior performance in the accuracy of lane detection and reliability, even in rainy conditions. The accuracy of Intersection of Union (IOU) was improved to 76.8%. It is promising that our wiper eliminating process will be easily included in the real-world ADAS.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Roopmeet Kaur
AU  - Don-Gey Liu
AU  - Chin-Hwa Cheng
PY  - 2026
DA  - 2026/06/25
TI  - Eliminating the Interference of the Windshield Wipers on Lane Detection
BT  - Proceedings of the International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)
PB  - Atlantis Press
SP  - 641
EP  - 661
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-713-2_48
DO  - 10.2991/978-94-6239-713-2_48
ID  - Kaur2026
ER  -