Optimization of Multi-Target Tracking in a Multi-Agent Architecture with Multi-Sensor Data Fusion
Subject Areas : Majlesi Journal of Telecommunication Devices
Keywords: en,
Abstract :
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.