Pregled bibliografske jedinice broj: 1144585
Lane Detection and Lane Departure Warning Using Front View Camera in Vehicle
Lane Detection and Lane Departure Warning Using Front View Camera in Vehicle // Proceesings ELMAR-2021 / Muštra, Mario ; Vuković, Josip ; Cihlar-Zovko, Branka (ur.).
Zagreb, 2021. str. 59-64 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1144585 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Lane Detection and Lane Departure Warning Using
Front View Camera in Vehicle
Autori
Špoljar, Domagoj ; Vranješ, Mario ; Nemet Sandra ; Pjevalica, Nebojša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceesings ELMAR-2021
/ Muštra, Mario ; Vuković, Josip ; Cihlar-Zovko, Branka - Zagreb, 2021, 59-64
ISBN
978-1-6654-4436-1
Skup
63rd International Symposium ELMAR-2021
Mjesto i datum
Zadar, Hrvatska, 13.09.2021. - 15.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Lane Detection ; Image Processing ; OpenCV ; Computer Vision ; ADAS
Sažetak
There has been a significant change in trends in the automotive industry over the last ten years. Vehicles equipped with different Advanced Driver Assistance Systems (ADAS) are increasingly present on the roads, whereas the level of their autonomy increases over time. For autonomous vehicles to work properly, it is necessary to have reliable ADAS that process different input signals from distinct sensors. One of the most important ADAS algorithms is that intended for lane detection (LD) and lane departure warning (LDW). In this paper, a new algorithm for LD on the road and LDW, which processes only images obtained from the camera located at the front end of the vehicle, is proposed. The algorithm provides information on the number of detected lane lines in the image and their position on the image while marking the current driving lane and the first two adjacent lanes if they exist. If the vehicle is departing from the lane, a corresponding warning message is shown to the driver. The algorithm was tested on a set of 12 video sequences (17552 frames in total) recorded during day and night in different weather conditions. The results showed that the algorithm achieves high performance in most cases, while for some challenging cases there is room for further improvement.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
DGS-UNIOS-ZUP 2018-6 - Povećavanje razine pouzdanosti vožnje autonomnih vozila pomoću sustava kamera na vozilu (Vranješ, Mario, DGS - Interni natječaja Sveučilišta Josipa Jurja Strossmayera u Osijeku za znanstvenoistraživačke i umjetničke projekte UNIOS-ZUP 2018) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Mario Vranješ
(autor)