Optimization of Multi-Target Tracking in a Multi-Agent Architecture with Multi-Sensor Data Fusion

Majlesi Journal of Telecommunication Devices

مقاله 3، دوره 4، شماره 1، خرداد 2015   

نوع مقاله: Articles

چکیده

This Article presents a Surveillance Multi-Agent System (S-MAS) architecture which focuses on the fusion of data from multi sensors for enhanced automotive safety and traffic efficiency. In S-MAS, tools will be introduced as autonomous agents for implementing a multi-sensor data fusion at architectural level: surveillance–sensor agents, a fusion agent, interface agents, record agents, planning agents, etc. They differ in their ability to carry out a specific surveillance task. A surveillance–sensor agent controls and manages individual sensors. In this work we focus on the fusion agent, addressing specific problems of on-line sensor alignment, registration, bias removal and data fusion. We show how the inclusion of this fusion agent guarantees that objects of interest are successfully tracked across the whole area.

کلیدواژه‌ها

en