Dataset
Pothole-600 Dataset
Pothole-600 Dataset
Our pothole-600 dataset is publicly available at here.
Our pothole-600 dataset is publicly available at here.
This dataset was collected using a ZED stereo camera. The road disparity images were estimated using PT-SRP [1]; the disparity transformation algorithm was first introduced in [2], and an advanced version was presented later on in [3].
This dataset was collected using a ZED stereo camera. The road disparity images were estimated using PT-SRP [1]; the disparity transformation algorithm was first introduced in [2], and an advanced version was presented later on in [3].
If you use our dataset for research purposes, please also consider citing the following works:
If you use our dataset for research purposes, please also consider citing the following works:
[1] Fan, R., Ai, X. and Dahnoun, N., 2018. Road surface 3D reconstruction based on dense subpixel disparity map estimation. IEEE Transactions on Image Processing, 27(6), pp.3025-3035.
[1] Fan, R., Ai, X. and Dahnoun, N., 2018. Road surface 3D reconstruction based on dense subpixel disparity map estimation. IEEE Transactions on Image Processing, 27(6), pp.3025-3035.
[2] Fan, R., Ozgunalp, U., Hosking, B., Liu, M. and Pitas, I., 2019. Pothole detection based on disparity transformation and road surface modeling. IEEE Transactions on Image Processing, 29, pp.897-908.
[2] Fan, R., Ozgunalp, U., Hosking, B., Liu, M. and Pitas, I., 2019. Pothole detection based on disparity transformation and road surface modeling. IEEE Transactions on Image Processing, 29, pp.897-908.
[3] Fan, R. and Liu, M., 2019. Road damage detection based on unsupervised disparity map segmentation. IEEE Transactions on Intelligent Transportation Systems.
[3] Fan, R. and Liu, M., 2019. Road damage detection based on unsupervised disparity map segmentation. IEEE Transactions on Intelligent Transportation Systems.