Lane Detection and Lane Departure Warning Using Front View Camera in Vehicle (CROSBI ID 707033)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Špoljar, Domagoj ; Vranješ, Mario ; Nemet Sandra ; Pjevalica, Nebojša
engleski
Lane Detection and Lane Departure Warning Using Front View Camera in Vehicle
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.
Lane Detection ; Image Processing ; OpenCV ; Computer Vision ; ADAS
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Podaci o prilogu
59-64.
2021.
objavljeno
Podaci o matičnoj publikaciji
Proceesings ELMAR-2021
Muštra, Mario ; Vuković, Josip ; Cihlar-Zovko, Branka
Zagreb:
978-1-6654-4436-1
Podaci o skupu
63rd International Symposium ELMAR 2021
predavanje
12.09.2021-15.09.2021
Zadar, Hrvatska