Abstract
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 vehicle 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 individual 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.
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Acknowledgments
This work was partly supported by the Programme of technological development, research and innovations application of Split-Dalmatia County (in Croatian: Program tehnološki razvoj, istraživanje i primjena inovacija Splitsko-dalmatinske županije) under grant “Automatic vehicle classification based on computer vision and data fusion” (in Croatian: “Automatski klasifikator vozila temeljem računalnog vida i fuzije podataka”).
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Šerić, L., Krstinić, D., Braović, M., Milatić, I., Mirčevski, A., Stipaničev, D. (2016). Holonic Multi Agent System for Data Fusion in Vehicle Classification. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L. (eds) Agent and Multi-Agent Systems: Technology and Applications. Smart Innovation, Systems and Technologies, vol 58. Springer, Cham. https://doi.org/10.1007/978-3-319-39883-9_12
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DOI: https://doi.org/10.1007/978-3-319-39883-9_12
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