Automated assessment of cracks using lidar and camera data

Abstract

Embodiments automatically assess, e.g., quantify dimensions of, cracks in real-world objects. Amongst other examples, such functionality can be used to identify structural problems in bridges and buildings. An example implementation maps pixels in an image of a real-world object to corresponding points in point cloud data of the real-world object. In turn, a patch in the image data that includes a crack is identified by processing, using a classifier, the pixels with the corresponding points mapped. Pixels in the patch that correspond to the crack are then identified based on one or more features of the image. Real-world dimensions of the crack are determined using the identified pixels in the patch corresponding to the crack.