The copyright of the SeDAR dataset is owned by The Centre for Vision Speech and Signal Processing, University of Surrey, UK. 

Permission is hereby granted to use the SeDAR dataset for academic purposes only, provided that it is referenced in publications related to its use as follows:

SeDAR: Reading Floorplans Like a Human - Using Deep Learning to Enable Human-Inspired Localisation (Mendez, Oscar, Hadfield, Simon, Pugeault, Nicolas and Bowden, Richard), In International Journal of Computer Vision, Springer, 2019.

@Article{mendez2019sedar,
  Title                    = {SeDAR: Reading Floorplans Like a Human -- Using Deep Learning to Enable Human-Inspired Localisation},
  Author                   = {Mendez, Oscar and Hadfield, Simon and Pugeault, Nicolas and Bowden, Richard},
  Journal                  = {International Journal of Computer Vision},
  Year                     = {2019},
  Pages                    = {1--25},

  Publisher                = {Springer},
  Url                      = {https://cvssp.org/Personal/OscarMendez/papers/pdf/Mendez_IJCV2019pp.pdf}
}

SeDAR-Semantic Detection and Ranging: Humans can localise without LiDAR, can robots? (Mendez, Oscar, Hadfield, Simon, Pugeault, Nicolas and Bowden, Richard), In Proceedings of the 2018 IEEE International Conference on Robotics and Automation, May 21-25, 2018, Brisbane, Australia, 2018. 
@InProceedings{Mendez2018Sedar,
  Title                    = {SeDAR--Semantic Detection and Ranging: Humans can localise without LiDAR, can robots?},
  Author                   = {Mendez, Oscar and Hadfield, Simon and Pugeault, Nicolas and Bowden, Richard},
  Booktitle                = {Proceedings of the 2018 IEEE International Conference on Robotics and Automation, May 21-25, 2018, Brisbane, Australia},
  Year                     = {2018},

  Url                      = {https://cvssp.org/Personal/OscarMendez/papers/pdf/Mendez18Sedar.pdf}
}