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Article

Camera-Based Lane Detection—Can Yellow Road Markings Facilitate Automated Driving in Snow?

1
Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
2
Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Chen Lv
Vehicles 2021, 3(4), 661-690; https://doi.org/10.3390/vehicles3040040
Received: 22 July 2021 / Revised: 24 September 2021 / Accepted: 27 September 2021 / Published: 13 October 2021
(This article belongs to the Special Issue Driver-Vehicle Automation Collaboration)
Road markings are beneficial to human drivers, advanced driver assistance systems (ADAS), and automated driving systems (ADS); on the contrary, snow coverage on roads poses a challenge to all three of these groups with respect to lane detection, as white road markings are difficult to distinguish from snow. Indeed, yellow road markings provide a visual contrast to snow that can increase a human drivers’ visibility. Yet, in spite of this fact, yellow road markings are becoming increasingly rare in Europe due to the high costs of painting and maintaining two road marking colors. More importantly, in conjunction with our increased reliance on automated driving, the question of whether yellow road markings are of value to automatic lane detection functions arises. To answer this question, images from snowy conditions are assessed to see how different representations of colors in images (color spaces) affect the visibility levels of white and yellow road markings. The results presented in this paper suggest that yellow markings provide a certain number of benefits for automated driving, offering recommendations as to what the most appropriate color spaces are for detecting lanes in snowy conditions. To obtain the safest and most cost-efficient roads in the future, both human and automated drivers’ actions must be considered. Road authorities and car manufacturers also have a shared interest in discovering how road infrastructure design, including road marking, can be adapted to support automated driving. View Full-Text
Keywords: automated driving; road infrastructure; computer vision; lane detection; lane marking automated driving; road infrastructure; computer vision; lane detection; lane marking
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MDPI and ACS Style

Storsæter, A.D.; Pitera, K.; McCormack, E. Camera-Based Lane Detection—Can Yellow Road Markings Facilitate Automated Driving in Snow? Vehicles 2021, 3, 661-690. https://doi.org/10.3390/vehicles3040040

AMA Style

Storsæter AD, Pitera K, McCormack E. Camera-Based Lane Detection—Can Yellow Road Markings Facilitate Automated Driving in Snow? Vehicles. 2021; 3(4):661-690. https://doi.org/10.3390/vehicles3040040

Chicago/Turabian Style

Storsæter, Ane D., Kelly Pitera, and Edward McCormack. 2021. "Camera-Based Lane Detection—Can Yellow Road Markings Facilitate Automated Driving in Snow?" Vehicles 3, no. 4: 661-690. https://doi.org/10.3390/vehicles3040040

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