DREAR - Towards Infrastructure-Free Indoor Localization via Dead-Reckoning Enhanced with Activity Recognition

@article{Trk2014DREART,
  title={DREAR - Towards Infrastructure-Free Indoor Localization via Dead-Reckoning Enhanced with Activity Recognition},
  author={Attila T{\"o}r{\"o}k and Andras D Nagy and Laszlo Kovats and Peter Pach},
  journal={2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies},
  year={2014},
  pages={106-111}
}
The recent indoor localization techniques use inertial sensors for position estimations in order to obtain a certain degree of freedom from infrastructure based solutions. Unfortunately, this dependency cannot be completely eliminated due to the cumulative errors induced in the localization process. While many methods are designed to reduce the required number of reference points or try to offer unsupervised maintenance, completely infrastructure independent solutions are still missing. In this… CONTINUE READING