Pregled bibliografske jedinice broj: 820231
Holonic Multi Agent System for Data Fusion in Vehicle Classification
Holonic Multi Agent System for Data Fusion in Vehicle Classification // Proceedings of 10th International KES Conference on AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS (KES-AMSTA-16)
Tenerife, Španjolska, 2016. str. ams16-024-1-ams16-024-10 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 820231 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Holonic Multi Agent System for Data Fusion in Vehicle Classification
Autori
Šerić, Ljiljana ; Krstinić, damir ; Braović, Maja ; Milatić, Ivan ; Mirčevski, Aljoša ; Stipaničev, Darko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 10th International KES Conference on AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS (KES-AMSTA-16)
/ - , 2016, Ams16-024-1-ams16-024-10
Skup
10th International KES Conference on AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS (KES-AMSTA-16)
Mjesto i datum
Tenerife, Španjolska, 15.06.2016. - 17.06.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
HolonicMAS; Vehicleclassification; Imageprocessing; Data fusion
Sažetak
In this paper we describe holonic organization of a multi agent system for automatic vehicle classification in a road toll system. Classification of vehicles in road toll systems is based on physical ve- hicle features and in this paper we focus on axle counting as the first discriminant feature for class determination. Our system relies on two main sensors - video camera and depth sensor. Video image and depth image processing is performed in several holons. The results from indi- vidual holons are fused into the final decision on a number of axles of a passing vehicle. We show that fusion of results from individual holons gives more precise results than individual holons. Holonic organization of the system aids scalability and simplifies inclusion of new sensors and new algorithms.
Izvorni jezik
Engleski
POVEZANOST RADA
Profili:
Maja Braović
(autor)
Darko Stipaničev
(autor)
Damir Krstinić
(autor)
Ljiljana Šerić
(autor)