Abstract
Recently, many research programs have investigated the concept of intelligent vehicles and their integration in the city of tomorrow. The aim is to develop an intelligent transportation system based on a fleet of fully automated cars designed for short trips at low speed in urban areas. This system will offer advantages of high flexibility, efficiency, safety, and thus, will improve the quality of life in our cities including but not restricted to protection of the environment, better management of parking areas, and others. One of the key functions that such transportation system must achieve concerns the notion of autonomous navigation of vehicles. To reach this goal, we are working on vehicle environment perception using passive and active sensor technologies. In this chapter, we address an artificial-vision based environment perception system for autonomous vehicle navigation. We are particularly interested in obstacle detection using stereo vision, image road line tracking for vehicle road, line following and landmarks recognition for local positioning. The developed techniques are implemented and have been tested using a fully automated vehicle platform for autonomous navigation in urban areas.
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Nogueira, S., Ruichek, Y., Gechter, F., Koukam, A., Charpillet, F. (2007). An Artificial-Vision Based Environment Perception System. In: Abut, H., Hansen, J.H.L., Takeda, K. (eds) Advances for In-Vehicle and Mobile Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-45976-9_4
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DOI: https://doi.org/10.1007/978-0-387-45976-9_4
Publisher Name: Springer, Boston, MA
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