Abstract: In an embodiment, a method for detecting cracks in road segments is provided. The method includes: receiving raw range data for a first image by a computing device from an imaging system, wherein the first image comprises a plurality of pixels; receiving raw intensity data for the first image by the computing device from an imaging system; fusing the raw range data and raw intensity data to generate fused data for the first image by the computing device; extracting a set of features from the fused data for the first image by the computing device; providing the set of features to a trained neural network by the computing device; and generating a label for each pixel of the plurality of pixels by the trained neural network, wherein a received label for a pixel indicates whether or not the pixel is associated with a crack.

Abstract: In an implementation, a method for pixel level roadway crack segmentation is provided. The method includes: receiving a plurality of roadway range images; generating a plurality of image patches from the plurality of roadway range images; generating a crack map for the plurality of image patches by a DCNN; and generating a crack map for the plurality of roadway range images based on the generated crack map for the plurality of image patches.