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Pothole Detection Based on Disparity Transformation and Road Surface Modeling (T-IP)
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ruirangerfan/stereo_pothole_datasets
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These datasets were created byRui (Ranger) Fan on 16/08/2019
These datasets were published along with our IEEE Transactions on Image Processing (T-IP) paper"Pothole Detection Based on Disparity Transformation and Road Surface Modeling":
Each dataset includes:
disp: disparity mapsdisp_tc: transformed disparity maps in colordisp_tg: transformed disparity maps in gray-scalelabel: pixel-level pothole labelsptcloud: 3D point cloudsrgb: RGB images
Rundemo.m to visualize our datasets.
Please cite the following papers when using these datasets:
@article{fan2019pothole, title={Pothole Detection Based on Disparity Transformation and Road Surface Modeling}, author={Fan, Rui and Ozgunalp, Umar and Hosking, Brett and Liu, Ming and Pitas, Ioannis}, journal={IEEE Transactions on Image Processing}, year={2019}, publisher={IEEE}}@article{fan2018road, title={Road surface 3D reconstruction based on dense subpixel disparity map estimation}, author={Fan, Rui and Ai, Xiao and Dahnoun, Naim}, journal={IEEE Transactions on Image Processing}, volume={27}, number={6}, pages={3025--3035}, year={2018}, publisher={IEEE}}The following pothole detection results are not utilized for algorithm evaluation:
Dataset 2, frame ID: 6, 7, 8, 13, 14, 15, 21, 22, 23, 37, 38, 39.
e-mail:rui.fan@ieee.org
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Pothole Detection Based on Disparity Transformation and Road Surface Modeling (T-IP)
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