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Driver Assistance: Intelligent Cruise Control
Research is conducted at CISR to further understanding of human
braking and steering patterns and their impact on the design of
intelligent control systems. The objective is to develop technology
that can learn an individual driver's behavior to provide
appropriate warning or control signals. Emphasis is given to
Intelligent Cruise Control (ICC) and other driver assistance
systems.
Related Recent Publications
Schober, M., Wehlan, H.,Eskandarian, A., and Kühne, R. (2004) “Comparing Driving Behavior for Manual, Conventional and Automated Cruise Control Driving in Car-Following by Scenarios Based on an Advanced Driver Performance Map”, Miami, FL: Intelligent Transportation Systems Safety and Security, CD-ROM.
Schober, M., Wehlan, H.,Eskandarian, A., Wagner, P., and Kühne, R. (2004) “Calibration and Validation of Microscopic Car-Following Models on the Basis of the Intelligent Cruise Control Field Operational Test Data”, Miami, FL: Intelligent Transportation Systems Safety and Security, CD-ROM.
Delaigue, P. and Eskandarian, A. (2004) "A comprehensive vehicle braking model for predictions of stopping distances," Journal of Automobile Engineering, 218(12), 1409-17.
Vahidi, A., and Eskandarian, A. (2003) “Research Advances in Intelligent Collision Avoidance and Adaptive Cruise Control”, IEEE Transactions on ITS, Vol. 4, Issue 3, 2003, pp. 143-153.
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