#AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition
Copyright (c) 2021 Tiago Barros, Luís Garrote, Ricardo Pereira, Cristiano Premebida, Urbano J. Nunes, HCMR Lab, Institute of Systems and Robotics, University of Coimbra.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
This work was accepted in ROBOT22
If you use our framework, model, or predictions for any academic work, please cite the original paper
@article{barros2021attdlnet,
title={AttDLNet: Attention-based DL network for 3D LiDAR place recognition},
author={Barros, Tiago and Garrote, Lu{\'\i}s and Pereira,
Ricardo and Premebida, Cristiano and Nunes, Urbano J},
journal={arXiv preprint arXiv:2106.09637},
year={2021}
}