Intelligent Vehicle Technologies: Theory and Applications
Ljubo Vlacic, Michel Parent, Fumio Harashima
Butterworth-Heinemann, 2001 - Computers - 498 pages
An exploration of the growing field of intelligent technologies, from intelligent control systems to intelligent sensors. Systems such as in-car navigation devices and cruise control are already being introduced into modern vehicles, but manufacturers are now racing to develop systems such as smart cruise control, on-vehicle driver information systems, collision avoidance systems, vision enhancement and roadworthiness diagnostics systems. There are practical examples and illustrations throughout the book.
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acceleration actuators adaptive control algorithm antenna application approach architecture ATDNN automated automated highway systems automatic behaviour brake camera CANopen circuit collision communication components computer vision configuration constraints control system data frame data link layer defuzzification developed devices distance and tracking driving dynamics environment Equation error filter frame frequency functions fuzzy control fuzzy control system GPS receiver highway IEEE implementation input integrated intelligent vehicle interface lane detection layer Ligier linguistic variable measurement method microcontroller module motion planning node nonlinear object operation optical optimal output parameters path pedestrian performance PID controllers pixels polyline polynomial position problem pseudorange radar real-time recognition satellite Section sensor sequence shown in Figure signal speed state-time steering stereo stereo vision techniques traffic sign trajectory transistor transmission transmitted valve vehicle’s velocity wheel