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Pregled bibliografske jedinice broj: 1006747

Time to collision estimation for vehicles coming from behind using in-vehicle camera


(Institut RT-RK Novi Sad za sisteme zasnovane na računaru) Ćosić, Luka; Vranješ, Mario; Ilkić, Veljko; Mihić, Velibor
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)


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Naslov
Time to collision estimation for vehicles coming from behind using in-vehicle camera

Autori
Ćosić, Luka ; Vranješ, Mario ; Ilkić, Veljko ; Mihić, Velibor

Kolaboracija
Institut RT-RK Novi Sad za sisteme zasnovane na računaru

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
2019 Zooming Innovation in Consumer Electronics International Conference

Mjesto i datum
Novi Sad, Srbija, 29-30.05.2019

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:

Avatar Url Mario Vranješ (autor)


Citiraj ovu publikaciju

(Institut RT-RK Novi Sad za sisteme zasnovane na računaru) Ćosić, Luka; Vranješ, Mario; Ilkić, Veljko; Mihić, Velibor
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)
(Institut RT-RK Novi Sad za sisteme zasnovane na računaru) (Institut RT-RK Novi Sad za sisteme zasnovane na računaru) Ćosić, L., Vranješ, M., Ilkić, V. & Mihić, V. (2019) Time to collision estimation for vehicles coming from behind using in-vehicle camera. U: 2019 Zooming Innovation in Consumer Electronics International Conference.
@article{article, year = {2019}, pages = {1-4}, keywords = {ADAS, time to collision, rear-view, vehicle camera}, title = {Time to collision estimation for vehicles coming from behind using in-vehicle camera}, keyword = {ADAS, time to collision, rear-view, vehicle camera}, publisherplace = {Novi Sad, Srbija} }
@article{article, year = {2019}, pages = {1-4}, keywords = {ADAS, time to collision, rear-view, vehicle camera}, title = {Time to collision estimation for vehicles coming from behind using in-vehicle camera}, keyword = {ADAS, time to collision, rear-view, vehicle camera}, publisherplace = {Novi Sad, Srbija} }




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