Stereoscopic Datasets and Algorithm Evaluation for Driving Scenarios

This report presents novel binocular stereo video datasets that capture automotive driving relevant scenarios as well as evaluation of five disparity estimation algorithms on the acquired imagery. Binocular stereo has great potential as a component technology for driving assistance, as it provides an approach to recovering 3D distance relative to a vehicle and thereby provide critical information for a variety of driving tasks. For incorporation into an overall driving system, candidate algorithms must have their performance specified precisely. The acquired imagery and comparative algorithm evaluation respond to this need by providing detailed qualitative and quantitative evaluation of alternative disparity estimation approaches on driving relevant data. Chapter

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