Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1006742

Surround view algorithm for parking assist system


(Institut RT-RK Novi Sad za sisteme zasnovane na računaru ; Fakultet tehničkih nauka Novi Sad) Buljeta, Daniel; Vranješ, Mario; Marčeta, Zoran; Kovačević, Jelena
Surround view algorithm for parking assist system // 2019 Zooming Innovation in Consumer Electronics International Conference
Novi Sad, 2019. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1006742 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Surround view algorithm for parking assist system

Autori
Buljeta, Daniel ; Vranješ, Mario ; Marčeta, Zoran ; Kovačević, Jelena

Kolaboracija
Institut RT-RK Novi Sad za sisteme zasnovane na računaru ; Fakultet tehničkih nauka Novi Sad

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, 1-6

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 ; fish-eye camera ; camera calibration ; image stitching ; surround view

Sažetak
Modern vehicles use different advanced driver- assistance systems (ADAS) in order to make driving safer and more comfortable. One of them is a system that uses a set of in-vehicle cameras and provides the driver a top-view image of the space around the vehicle, thus helping the driver in parking. The main part of that system is the algorithm which processes the frames acquired simultaneously from four in-vehicle cameras located at different sides of the vehicle and creates the final top-view image of the space around the vehicle. In this paper an new algorithm for that purpose is designed, which consists of two main parts, one for performing camera calibration, the other for generating the top-view image. The implemented camera calibration is based on calibration patterns and calculates camera parameters which are then used to eliminate image distortion due to usage of fish-eye cameras. For generating the top-view image of the space around the vehicle, different geometric operations including distortion correction, perspective transformation, and image stitching, are applied to the input frames acquired by different cameras. Algorithm performance are tested using four real automotive fish-eye cameras fixed to the vehicle model and connected to the ADAS development board.

Izvorni jezik
Engleski

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 ; Fakultet tehničkih nauka Novi Sad) Buljeta, Daniel; Vranješ, Mario; Marčeta, Zoran; Kovačević, Jelena
Surround view algorithm for parking assist system // 2019 Zooming Innovation in Consumer Electronics International Conference
Novi Sad, 2019. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
(Institut RT-RK Novi Sad za sisteme zasnovane na računaru ; Fakultet tehničkih nauka Novi Sad) (Institut RT-RK Novi Sad za sisteme zasnovane na računaru, Fakultet tehničkih nauka Novi Sad) Buljeta, D., Vranješ, M., Marčeta, Z. & Kovačević, J. (2019) Surround view algorithm for parking assist system. U: 2019 Zooming Innovation in Consumer Electronics International Conference.
@article{article, year = {2019}, pages = {1-6}, keywords = {ADAS, fish-eye camera, camera calibration, image stitching, surround view}, title = {Surround view algorithm for parking assist system}, keyword = {ADAS, fish-eye camera, camera calibration, image stitching, surround view}, publisherplace = {Novi Sad, Srbija} }
@article{article, year = {2019}, pages = {1-6}, keywords = {ADAS, fish-eye camera, camera calibration, image stitching, surround view}, title = {Surround view algorithm for parking assist system}, keyword = {ADAS, fish-eye camera, camera calibration, image stitching, surround view}, publisherplace = {Novi Sad, Srbija} }




Contrast
Increase Font
Decrease Font
Dyslexic Font