Holonic Multi Agent System for Data Fusion in Vehicle Classification (CROSBI ID 636172)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šerić, Ljiljana ; Krstinić, damir ; Braović, Maja ; Milatić, Ivan ; Mirčevski, Aljoša ; Stipaničev, Darko
engleski
Holonic Multi Agent System for Data Fusion in Vehicle Classification
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.
HolonicMAS; Vehicleclassification; Imageprocessing; Data fusion
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
ams16-024-1-ams16-024-10.
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 10th International KES Conference on AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS (KES-AMSTA-16)
Podaci o skupu
10th International KES Conference on AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS (KES-AMSTA-16)
predavanje
15.06.2016-17.06.2016
Tenerife, Španjolska