Pregled bibliografske jedinice broj: 1236957
Performance of spatial digital image filtering on a real Advanced Driver Assistance System platform
Performance of spatial digital image filtering on a real Advanced Driver Assistance System platform // 2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC) / Bjelica, Milan (ur.).
Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 1-1 doi:0.1109/ZINC55034.2022.9840667 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1236957 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Performance of spatial digital image filtering on a
real Advanced Driver Assistance System platform
Autori
Opačak, Kristina ; Herceg, Marijan ; Kovačević, Jelena ; Papp, Ištvan
Kolaboracija
Research and Development Institute RT-RK, Novi Sad, Serbia
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC)
/ Bjelica, Milan - Novi Sad : Institute of Electrical and Electronics Engineers (IEEE), 2022, 1-1
ISBN
978-1-6654-8374-2
Skup
Zooming Innovation in Consumer Technologies Conference (ZINC 2022)
Mjesto i datum
Novi Sad, Srbija, 25.05.2022. - 26.05.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
spatial filter , pre-processing , autonomous driving , ADAS
Sažetak
In this paper, the implementation and optimization of different spatial filters on the realistic Advanced Driver Assistance Systems (ADAS) platform is performed. In particular, the moving average, high-pass, median and Gaussian spatial filters are implemented on the ADAS Alpha board. The optimization of the implemented filters is performed in the software and hardware domain on different Alpha board processors to improve the filter's execution times. After optimization, the performance of the implemented filters is measured and compared with the implementation on the personal computer. The given results show comparable execution times of the optimized solution.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Marijan Herceg
(autor)