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Vehicle recognition and tracking using a generic multisensor and multialgorithm fusion approach
International Journal of Vehicle Autonomous Systems
To cite this version: Fawzi Nashashibi, Ayoub Khammari, Claude Laurgeau. Vehicle recognition and tracking using a generic multi-sensor and multi-algorithm fusion approach. Abstract: This paper tackles the problem of improving the robustness of vehicle detection for Adaptive Cruise Control (ACC) applications. Our approach is based on a multisensor and a multialgorithms data fusion for vehicle detection and recognition. Our architecture combines two sensors: a frontal camera and a laser scanner.doi:10.1504/ijvas.2008.016482 fatcat:spiwmdns5bh3bkf73owihhepmu