Recent Advances in Vision-Based Lane Detection Solutions for Automotive Applications (CROSBI ID 681237)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vajak, Denis ; Vranješ, Mario ; Grbić, Ratko ; Vranješ, Denis
engleski
Recent Advances in Vision-Based Lane Detection Solutions for Automotive Applications
In recent years, autonomous vehicles have become increasingly popular. Different Advanced Driver Assistance Systems (ADAS) are mplemented in today’s vehicles and one of them is the system for lane detection and tracking (LDaT). It can be used either in assistance to the driver, or in the process of autonomous vehicle driving. In this paper, we analyze and explore the advancements in the field of LDaT throughout the recent years and provide a brief review of existing solutions. We categorize the existing solutions, compare them, look for limitations and finally bring a conclusion on where the advancements might be heading in the future.
Lane Detection ; Lane Tracking ; Computer Vision ; Deep Learning ; Automotive
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Podaci o prilogu
45-50.
2019.
objavljeno
Podaci o matičnoj publikaciji
Proceedings ELMAR-2019
Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka
Zagreb:
978-1-7281-2182-6
Podaci o skupu
61st International Symposium Electronics in Marine (ELMAR 2019)
predavanje
23.09.2019-25.09.2019
Zadar, Hrvatska