An Intelligent Driver Warning System

Harris, Chris J., Roberts, Jonathan M., & An, P. Edgar (1999) An Intelligent Driver Warning System. In Jain, L.C., Johnson, R.P., Takefuji, Y., & Zadeh, L.A. (Eds.) Knowledge-Based Intelligent Techniques in Industry. The CRC Press, Boca Raton, pp. 1-51.

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This chapter is focussed on the research and development of an intelligent driver warning system (IDWS) as a means to improve road safety and driving comfort. Two independent IDWS case studies are presented. The first study examines the methodology and implementation for attentive visual tracking and trajectory estimation for dynamic scene segmentation problems. In the second case study, the concept of driver modelling is evaluated which can be used to provide useful feedback to drivers. In both case studies, the quality of IDWS is largely determined by the modelling capability for estimating multiple vehicle trajectories and modelling driving behaviour. A class of modelling techniques based on neural-fuzzy systems, which exhibits provable learning and modelling capability, is proposed. For complex modelling problems where the curse of dimensionality becomes an issue, a network construction algorithm based on Adaptive Spline Modelling of Observation Data (ASMOD) is also proposed.

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ID Code: 84975
Item Type: Book Chapter
Keywords: Intelligent driver warning system, Robotics, Driving behaviour
ISBN: 9780849398032
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 1999 by CRC Press LLC
Deposited On: 23 Jun 2015 23:29
Last Modified: 23 Jun 2016 14:49

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