IVVI: Intelligent vehicle based on visual information

Authors:
José María Armingol;Arturo de la Escalera;Cristina Hilario;Juan M. Collado;Juan Pablo Carrasco;Marco Javier Flores;José Manuel Pastor;Fo José Rodríguez
Affiliations:
Intelligent Systems Laboratory, Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Spain;Intelligent Systems Laboratory, Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Spain;Intelligent Systems Laboratory, Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Spain;Intelligent Systems Laboratory, Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Spain;Intelligent Systems Laboratory, Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Spain;Intelligent Systems Laboratory, Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Spain;Department of Informatics Systems, Escuela Universitaria Politécnica de Cuenca Universidad de Castilla la Mancha, Spain;Intelligent Systems Laboratory, Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Spain
Venue:
Robotics and Autonomous Systems
Year:
2007

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Abstract

Human errors are the cause of most traffic accidents, with drivers' inattention and wrong driving decisions being the two main sources. These errors can be reduced, but not completely eliminated. That is why Advanced Driver Assistance Systems (ADAS) can reduce the number, danger and severity of traffic accidents. Several ADAS, which nowadays are being researched for Intelligent vehicles, are based on Artificial Intelligence and Robotics technologies. In this article a research platform for the implementation of systems based on computer vision is presented, and different visual perception modules useful for some ADAS such as Line Keeping System, Adaptive Cruise Control, Pedestrian Protector, or Speed Supervisor, are described.