Pregled bibliografske jedinice broj: 1060649
Lane detection problem in automotive applications
Lane detection problem in automotive applications // SoftCOM 2019 PhD Forum
Split, 2019. str. 6-7 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1060649 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Lane detection problem in automotive applications
Autori
Vajak, Danis ; Vranješ, Mario ; Grbić, Ratko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
SoftCOM 2019 PhD Forum
/ - Split, 2019, 6-7
ISBN
978-953-290-096-5
Skup
27th International Conference of Software, Telecommunications and Computer Networks (SoftCOM 2019)
Mjesto i datum
Split, Hrvatska, 19.09.2019. - 21.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
lane detection ; lane tracking ; computer vision ; deep learning ; automotive
Sažetak
Recently, Advanced Driver Assistance Systems (ADAS) are becoming a popular topic both in the automotive industry and in research. One of the commonly used systems is called Lane Detection (LD). It is used for keeping the vehicle within a lane and warning about departure from it. This paper describes the LD problem, presents some recent advancements in this area, along with providing explanations of different techniques commonly used in research. Additionally, a plan of our future work and contributions in this area are presented.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
UNIOS-ZUP 2018-6
IZIP FERIT 2019
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek