A neurofuzzy approach to future intelligent driver support systems
Data(s) |
01/01/1998
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Resumo |
This paper reviews a variety of advanced signal processing algorithms that have been developed at the University of Southampton as part of the Prometheus (PROgraMme for European Traffic flow with Highest Efficiency and Unprecedented Safety) research programme to achieve an intelligent driver warning system (IDWS). The IDWS includes: visual detection of both generic obstacles and other vehicles, together with their tracking and identification, estimates of time to collision and behavioural modelling of drivers for a variety of scenarios. These application areas are used to show the applicability of neurofuzzy techniques to the wide range of problems required to support an IDWS, and for future fully autonomous vehicles. |
Identificador | |
Publicador |
Sage Publications Ltd. |
Relação |
DOI:10.1243/0954407981525786 Matthews, N. D., An, P. E., Roberts, Jonathan M., & Harris, C. J. (1998) A neurofuzzy approach to future intelligent driver support systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 212(1), pp. 43-58. |
Direitos |
Copyright 2008 IMechE |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Neurofuzzy #Control #Collision avoidance #Cruise control #Driver modelling |
Tipo |
Journal Article |