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1 Apr 2018

Pothole Detection, Classification and Tracking

This project mainly aims at detecting potholes from a road surface using the disparity information.

The sensor used for acquiring disparity information is a ZED stereo camera. We use our previously published algorithm to estimate dense subpixel disparity maps. For more details on the algorithm, please kindly refer to our paper published on IEEE Transactions on Image Processing. The paper is also publicly available on ResearchGate.

The datasets for pothole detection include 67 pairs of stereo images. The subpixel disparity map and 3D point cloud of each stereo pair are also provided. Some examples of pothole detection and classification results are shown below: 



The demo video of pothole tracking using DSST is shown below: 
If you have any problems with the datasets, please contact me without any hesitation.