Title: The multi-agent driving assistance system

Authors: An-Ping Wang, Cheng-Yen Wu, Pau-Lo Hsu

Addresses: Network-Based Control and Monitoring System Laboratory, Institute of Electrical and Control Engineering, National Chiao-Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan 300, ROC. ' Network-Based Control and Monitoring System Laboratory, Institute of Electrical and Control Engineering, National Chiao-Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan 300, ROC. ' Network-Based Control and Monitoring System Laboratory, Institute of Electrical and Control Engineering, National Chiao-Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan 300, ROC

Abstract: In this research, the intelligence of vehicle sensors is enhanced by applying advanced signal-processing techniques as smart agents. Furthermore, through the cooperation among multiple agents, the proposed approach not only improves the individual sensor|s understanding of the physical driving environments, but also helps other sensors to overcome inherent limitations through a collaborative mechanism. Such information fusion is valuable for knowledge-obtaining and decision-making to construct a driving assistance system under complicated environments. An image agent and a laser-scanner agent have been successfully integrated on a golf car sensor network to prove the feasibility of the proposed approach.

Keywords: multi-agent systems; agent-based systems; sensor networks; sensor intelligence; driving assistance; image processing; Kalman filter; vehicle sensors; signal processing; sensor collaboration; information fusion; golf car sensors.

DOI: 10.1504/IJVAS.2007.016406

International Journal of Vehicle Autonomous Systems, 2007 Vol.5 No.3/4, pp.306 - 325

Available online: 28 Dec 2007 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article