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In order to illustrate the application of the framework in practice, the paper presents a method based on the framework and the results from applying that method for twelve intelligent vehicle systems in Europe.
Odin was followed, at intervals of about five minutes, by Junior, Little Ben, from Ben Franklin Racing, Talos of MIT, Terramax, the 12-ton truck from Team Oshkosh, Skynet from Cornell, AnnieWay from Team AnnieWay, the Ford Truck from Intelligent Vehicle Systems, Boss from Tartan Racing, Caroline from CarOlo, and Knight Rider from the University of Central Florida.
The rapid increase in the scientific activity on representation learning has been accompanied and nourished by a remarkable string of empirical successes in real-world applications, such as speech recognition, natural language processing, and intelligent vehicle systems [30 32].
The European Commission through programmes like the i2010 Intelligent Car Initiative [2], which is a followup of eEurope 2005 [3] is driving the rollout of intelligent vehicle systems in both European and international markets, by supporting ICT research and development in the area of transport.
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On the application side, research teams are engaged in projects involving a variety of mechanical systems such as robot manipulators, manufacturing systems, vehicles and intelligent vehicle highway systems (IVHS), motion control systems, computer storage devices and biomedical systems.
One field of interest to researchers investigating intelligent vehicle control systems is the interaction between a human driver and an intelligent system that can handle many driving environments and conditions.
meets criteria established by the Secretary in conjunction with the intelligent vehicle highway systems corridors program.
The framework is also compared to two recent frameworks applied in the safety assessment of intelligent vehicle safety systems.
Recently much interest has been concentrated on the development of intelligent vehicle highway systems (IVHS) since they are considered to have the ability to effectively handle the traffic problems of the current industrialized society.
Modeling human control strategy (HCS) is becoming an increasingly popular paradigm in a number of different research areas, ranging from robotics and intelligent vehicle highway systems to expert training and virtual reality computer games.
For example, some proposals of intelligent vehicle highway systems (IVHS) have introduced a variety of vehicle-to-vehicle and vehicle-to-roadside-infrastructure communications.
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