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Holonic Multi Agent System for Data Fusion in Vehicle Classification


Šerić, Ljiljana; Krstinić, damir; Braović, Maja; Milatić, Ivan; Mirčevski, Aljoša; Stipaničev, Darko
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)


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 - 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