Pregled bibliografske jedinice broj: 1219557
Vehicle Distance Estimation Based on Stereo Camera System with Implementation on a Real ADAS Board
Vehicle Distance Estimation Based on Stereo Camera System with Implementation on a Real ADAS Board // Proceedings SoftCOM 2022
Split, 2022. 6, 6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1219557 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Vehicle Distance Estimation Based on Stereo
Camera System with Implementation on a Real
ADAS Board
Autori
Miljković, Marko ; Vranješ, Mario ; Mijić, David ; Đukić, Miodrag
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings SoftCOM 2022
/ - Split, 2022
Skup
30th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2022)
Mjesto i datum
Split, Hrvatska, 22.09.2022. - 24.09.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
ADAS ; stereo camera system ; vehicle distance estimation ; FGS filter
Sažetak
In Advanced Driver-Assistance Systems (ADAS) one of the main tasks is to determine the distance of the objects in the vehicle's surroundings. This paper presents a solution that determines the distance of a detected vehicle using a stereo image pair, which is implemented on a real ADAS embedded platform (ADAS board). To improve the performance of the solution, after disparity map calculation, the presented solution implements Fast Global Smoothing (FGS) filter with guidance over the disparity map, which smooths disparity map surfaces that represent the same object of the scene, while preserving its edges. This solution is tested in a real environment using the real ADAS board and specific automotive cameras. Distinct vehicles located at different distances from the cameras are used in tests. The results show the proposed solution can provide high- performance results when implemented on a real ADAS platform while processing 7 frames per second for videos with a resolution of 1280x360 pixels. Furthermore, it is possible to conclude that despite the somewhat slower execution of the solution using the FGS filter with guidance, it makes sense to use it because, with still acceptable execution frequency, it provides a much better distance estimation, which is extremely important for ADAS.
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)
MZO Ustanova-Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek-IZIP FERIT 2022 - Prilagodba modela dubokog učenja za primjenu u ADAS algoritmima (Vranješ, Mario, MZO Ustanova ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Mario Vranješ
(autor)
