Pregled bibliografske jedinice broj: 1022828
Recent Advances in Vision-Based Lane Detection Solutions for Automotive Applications
Recent Advances in Vision-Based Lane Detection Solutions for Automotive Applications // Proceedings ELMAR-2019 / Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka (ur.).
Zagreb, 2019. str. 45-50 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Recent Advances in Vision-Based Lane Detection Solutions for Automotive Applications
Autori
Vajak, Denis ; Vranješ, Mario ; Grbić, Ratko ; Vranješ, Denis
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings ELMAR-2019
/ Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka - Zagreb, 2019, 45-50
ISBN
978-1-7281-2182-6
Skup
61st International Symposium Electronics in Marine (ELMAR 2019)
Mjesto i datum
Zadar, Hrvatska, 23.09.2019. - 25.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Lane Detection ; Lane Tracking ; Computer Vision ; Deep Learning ; Automotive
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
UNIOS-ZUP 2018-6
FERIT IZIP-2019
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek