A visible-light and thermal-infrared images datasets for dual-spectrum depth estimation in paper
You can download the dataset with BaiduYun
If you are inconvenient to use BaiduYun, we will update a download link for Onedrive later.
We use two hybrid RGB-Thermal cameras which can output optical-aligned visible-light(VIS) and thermal-infrared(TIR) images to build a dual-spectrum stereo camera. A Velodyne-64E LiDAR sensor is used for 3D point cloud to get ground-truth.
The stereo baseline between left and right camera is 0.5m, and the camera focal length is 1.6345*10^3mm
update: add calibration parameter from Matlab. Please note that:
- The released images have been calibrated.
- The calibration parameter of the original image with image size 1280x960. The released images are cut to remove some of the sky area at the top with the final size 1280x800.
For our dual-spectrum stereo camera, each data frame contains six images: left/right VIS images, left/right TIR image, and left/right depth map ground-truth.
Datasets contains images with varing sences and illuminations.
If the current dataset is helpful to your research, you can cite the following papers：
@article{DBLP:journals/tits/GuoQXXK23,
author = {Yubin Guo and
Xinlei Qi and
Jin Xie and
Cheng{-}Zhong Xu and
Hui Kong},
title = {Unsupervised Cross-Spectrum Depth Estimation by Visible-Light and
Thermal Cameras},
journal = {{IEEE} Trans. Intell. Transp. Syst.},
volume = {24},
number = {10},
pages = {10937--10947},
year = {2023},
url = {https://doi.org/10.1109/TITS.2023.3279559},
doi = {10.1109/TITS.2023.3279559},
timestamp = {Mon, 01 Apr 2024 11:14:52 +0200},
biburl = {https://dblp.org/rec/journals/tits/GuoQXXK23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icra/ZhangGGGLSHYWYP19,
author = {Yigong Zhang and
Yicheng Gao and
Shuo Gu and
Yubin Guo and
Minghao Liu and
Zezhou Sun and
Zhixing Hou and
Hang Yang and
Ying Wang and
Jian Yang and
Jean Ponce and
Hui Kong},
title = {Build your own hybrid thermal/EO camera for autonomous vehicle},
booktitle = {International Conference on Robotics and Automation, {ICRA} 2019,
Montreal, QC, Canada, May 20-24, 2019},
pages = {6555--6560},
publisher = {{IEEE}},
year = {2019},
url = {https://doi.org/10.1109/ICRA.2019.8794320},
doi = {10.1109/ICRA.2019.8794320},
timestamp = {Fri, 06 Oct 2023 13:00:13 +0200},
biburl = {https://dblp.org/rec/conf/icra/ZhangGGGLSHYWYP19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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