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Depth estimation of the surrounding environment using a stereoscopic camera setup is an important and fundamental research topic in computer vision. Due to its running time and quality performance in real situations the semi global matching algorithm is often used. The biggest disadvantage of the semi global approach is its large memory footprint. On the other hand, block matching stereo is leaner...
This paper addresses the problem of finding the host vehicle's lateral position on a multi-lane road, using information obtained by processing video sequences. A very important cue for lane identification is the class of the boundaries of the current lane. This paper presents a reliable solution for lane boundary type identification, based on frequency analysis of the gray level profile of these boundaries,...
Modeling and tracking dynamic entities in the driving environment is a complex task, as one has to accommodate multiple types of scenarios. Extraction of dynamic properties of obstacles becomes difficult when the measurement sensors do not provide speed directly. The dynamic polyline representation of obstacles is a compromise between the rigid model-based cuboid representation and the model-free...
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