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Pregled bibliografske jedinice broj: 1104232

Vehicle Detection in the Autonomous Vehicle Environment for Potential Collision Warning

Gluhaković, Mario; Herceg, Marijan; Popović, Miroslav; Kovačević, Jelena
Vehicle Detection in the Autonomous Vehicle Environment for Potential Collision Warning // 2020 Zooming Innovation in Consumer Technologies Conference (ZINC) / Bjelica, Milan (ur.).
Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 178-183 doi:10.1109/ZINC50678.2020.9161791 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Vehicle Detection in the Autonomous Vehicle Environment for Potential Collision Warning

Autori
Gluhaković, Mario ; Herceg, Marijan ; Popović, Miroslav ; Kovačević, Jelena

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2020 Zooming Innovation in Consumer Technologies Conference (ZINC) / Bjelica, Milan - Novi Sad : Institute of Electrical and Electronics Engineers (IEEE), 2020, 178-183

ISBN
978-1-7281-8259-9

Skup
Zooming Innovation in Consumer Technologies Conference (ZINC 2020)

Mjesto i datum
Novi Sad, Srbija, 26.05.2020. - 27.05.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
object detection ; ROS ; YOLO v2 ; distance assessment ; Carla simulator ; collision ; autonomous vehicle

Sažetak
In this paper, a method for the vehicles detection in the surroundings of an autonomous vehicle and warnings of potential collision with them is presented. The method, which consists of two parts, is implemented in robot operating system (ROS). The first part is used to detect vehicles in an autonomous vehicle environment, in which, YOLO v2 algorithm, trained on a newly created set of images, is used. The YOLO v2 algorithm is configured to detect four classes of objects: a car, a van, a truck, and a bus. The second part of the proposed method is the ROS node for distance assessment. In particular, two ROS nodes for distance assessment are created ; one ROS node used for distance assessment in the Carla simulator, while the other ROS node is used for real-world distance assessment. The testing results of the proposed method show promising results.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



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:

Avatar Url Marijan Herceg (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Gluhaković, Mario; Herceg, Marijan; Popović, Miroslav; Kovačević, Jelena
Vehicle Detection in the Autonomous Vehicle Environment for Potential Collision Warning // 2020 Zooming Innovation in Consumer Technologies Conference (ZINC) / Bjelica, Milan (ur.).
Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 178-183 doi:10.1109/ZINC50678.2020.9161791 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Gluhaković, M., Herceg, M., Popović, M. & Kovačević, J. (2020) Vehicle Detection in the Autonomous Vehicle Environment for Potential Collision Warning. U: Bjelica, M. (ur.)2020 Zooming Innovation in Consumer Technologies Conference (ZINC) doi:10.1109/ZINC50678.2020.9161791.
@article{article, author = {Gluhakovi\'{c}, Mario and Herceg, Marijan and Popovi\'{c}, Miroslav and Kova\v{c}evi\'{c}, Jelena}, editor = {Bjelica, M.}, year = {2020}, pages = {178-183}, DOI = {10.1109/ZINC50678.2020.9161791}, keywords = {object detection, ROS, YOLO v2, distance assessment, Carla simulator, collision, autonomous vehicle}, doi = {10.1109/ZINC50678.2020.9161791}, isbn = {978-1-7281-8259-9}, title = {Vehicle Detection in the Autonomous Vehicle Environment for Potential Collision Warning}, keyword = {object detection, ROS, YOLO v2, distance assessment, Carla simulator, collision, autonomous vehicle}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Novi Sad, Srbija} }
@article{article, author = {Gluhakovi\'{c}, Mario and Herceg, Marijan and Popovi\'{c}, Miroslav and Kova\v{c}evi\'{c}, Jelena}, editor = {Bjelica, M.}, year = {2020}, pages = {178-183}, DOI = {10.1109/ZINC50678.2020.9161791}, keywords = {object detection, ROS, YOLO v2, distance assessment, Carla simulator, collision, autonomous vehicle}, doi = {10.1109/ZINC50678.2020.9161791}, isbn = {978-1-7281-8259-9}, title = {Vehicle Detection in the Autonomous Vehicle Environment for Potential Collision Warning}, keyword = {object detection, ROS, YOLO v2, distance assessment, Carla simulator, collision, autonomous vehicle}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Novi Sad, Srbija} }

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