Pregled bibliografske jedinice broj: 781151
Appearance based vehicle detection by radar-stereo vision integration
Appearance based vehicle detection by radar-stereo vision integration // Proceeding of the Second Iberian Robotics Conference - ROBOT'2015
Lisabon, 2015. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Appearance based vehicle detection by radar-stereo vision integration
Autori
Obrvan, Marko ; Ćesić, Josip ; Petrović, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceeding of the Second Iberian Robotics Conference - ROBOT'2015
/ - Lisabon, 2015
Skup
Second Iberian Robotics Conference - ROBOT'2015
Mjesto i datum
Lisabon, Portugal, 19.11.2015. - 21.11.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Vehicle detection; Stereo vision; Radar; Fusion
Sažetak
This paper proposes a novel method for appearance based vehicle detection by employing stereo vision system and radar units. In the vein of utilizing advanced driver assistance systems, detection and tracking of moving objects or particularly vehicles, represents an essential task. For the merits of such application, it has often been suggested to combine multiple sensors with complementary modalities. In accordance, in this work we utilize a stereo vision and two radar units, and fuse the corresponding modalities at the level of detection. Firstly, the algorithm executes the detection procedure based on stereo image solely, generating the information about vehicles' position. Secondly, the nal unique list of vehicles is obtained by overlapping the radar readings with the preliminary list obtained by stereo system. The stereo vision-based detection procedure consists of (i) edge processing plugging in also the information about disparity map, (ii) shape based vehicles' contour extraction and (iii) preliminary vehicles' positions generation. Since the radar readings are examined by overlapping them with the list obtained by stereo vision, the proposed algorithm can be considered as high level fusion approach. We analyze the performance of the proposed algorithm by performing the real- world experiment in highly dynamic urban environment, under signi cant illumination influences caused by sunny weather.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb