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A Road Following System for Intelligent Vehicles Based on Active Vision
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ZHANG Yutenga,YANG Minga,WANG Chunxiangb
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(a. Department of Automation; b. Research Institute of Robotics, Shanghai Jiaotong University, Shanghai 200240, China)
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Abstract The active vision method was used in the control of intelligent vehicles on urban environment roads to expand the field of view of onboard camera. The angle of the pan&tilt unit is set according to the relative position between the lane and the vehicle to keep the lane in the middle of the image. The corresponding relationship between the vehicle coordinate system and image coordinate system was analyzed and calculated in real time. The conclusion that the active vision system has a higher roadtracking accuracy and less imagelost rate is shown in the comparison experiments between the active vision system and the traditional vision system.
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Received: 22 October 2009
Published: 31 August 2010
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