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Pavement cracks are important information for evaluating the road condition and conducting the necessary road maintenance. In this paper, we develop CrackTree, a fully-automatic method to detect cracks from pavement images. In practice, crack detection is a very challenging problem because of (1) low contrast between cracks and the surrounding pavement, (2) intensity inhomogeneity along the cracks,...
Considering the plentiful road markings in China, we present a Block-Constraint Line scanning (BCLS) method for lane detection in this paper. In this method, images are firstly pre-processed by a morphological top-hat transform, and then an imaging model is created for building relationship between lane parameters of the image coordinate and the WGS coordinate, from which target points on lane lines...
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