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Embedded Stereo Vision System for Intelligent Autonomous Vehicles

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5 Author(s)

This paper reports our work on an embedded stereo vision system, designed to be part of an existing intelligent autonomous vehicle that participated in the DARPA Grand Challenge 2005. There are two algorithms executed on the stereo vision system. The first algorithm detects the lane, consisting of the drivable area in front of the vehicle. The second algorithm searches for obstacles that are on the predicted trajectory. This paper presents the hardware configuration, the algorithms and their functional behavior. Furthermore, evaluation results during the DARPA Grand Challenge 2005 are presented

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Intelligent Vehicles Symposium, 2006 IEEE

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