DurLAR.txt

@inproceedings{li21durlar,
 author = {Li, L. and Ismail, K.N. and Shum, H.P.H. and Breckon, T.P.},
 title = {DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications},
 booktitle = {Proc. Int. Conf. on 3D Vision},
 year = {2021},
 month = {December},
 publisher = {IEEE},
 keywords = {autonomous driving, dataset, high-resolution LiDAR, flash LiDAR, ground truth depth, dense depth, monocular depth estimation, stereo vision, 3D},
 category = {automotive 3Dvision},
}