Pregled bibliografske jedinice broj: 1006747
Time to collision estimation for vehicles coming from behind using in-vehicle camera
Time to collision estimation for vehicles coming from behind using in-vehicle camera // 2019 Zooming Innovation in Consumer Electronics International Conference
Novi Sad, 2019. str. 1-4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1006747 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Time to collision estimation for vehicles coming from behind using in-vehicle camera
Autori
Ćosić, Luka ; Vranješ, Mario ; Ilkić, Veljko ; Mihić, Velibor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2019 Zooming Innovation in Consumer Electronics International Conference
/ - Novi Sad, 2019, 1-4
Skup
Zooming Innovation in Consumer Technologies Conference (ZINC 2019)
Mjesto i datum
Novi Sad, Srbija, 29.05.2019. - 30.05.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
ADAS ; time to collision ; rear-view ; vehicle camera
Sažetak
In recent years the number of Advanced Driver- Assistance Systems (ADAS) implemented in vehicles has been rising significantly. In this paper an algorithm for ADAS that estimates the time to potential collision (TTC) with the vehicle coming from behind, by processing only the video frames captured by the camera located in the outside rear-view mirror, is proposed. After preprocessing of the input video frame, vehicle detection is performed, followed by vehicle tracking. When the vehicle is successfully detected and tracked, it is possible to estimate the distance between the oncoming vehicle and the camera, as well as the oncoming vehicle speed. Using the calculated distance and the speed of the oncoming vehicle, the proposed algorithm outputs the final information about the TTC, i.e. time remaining for safe change of the driving lane. The algorithm has been tested on different real video sequences and it achieves high performance in terms of estimated TTC accuracy, while processing 25 Full HD frames per second.
Izvorni jezik
Hrvatski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
UNIOS-ZUP 2018-6
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Mario Vranješ
(autor)