Learning-based indoor localization for industrial applications

Author:

Laux Hendrik1,Bytyn Andreas1,Ascheid Gerd1,Schmeink Anke1,Kurt Gunes Karabulut2,Dartmann Guido3

Affiliation:

1. RWTH Aachen University, Aachen, Germany

2. Istanbul Technical University, Istanbul, Turkey

3. Trier University of Applied Sciences, Trier, Germany

Funder

federal ministry of education and science (BMBF)

Publisher

ACM

Reference21 articles.

1. C. Chen Y. Chen H.-Q. Lai Y. Han K.J.R. Liu; "High accuracy indoor localization: A WiFi-based approach" in IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) (2016); C. Chen Y. Chen H.-Q. Lai Y. Han K.J.R. Liu; "High accuracy indoor localization: A WiFi-based approach" in IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) (2016);

2. P.M. Hofman J.G.A. Van Riswick and A.J. Van Opstal; "Relearning sound localization with new ears" in Nature Neuroscience 1 417 - 421 (1998) P.M. Hofman J.G.A. Van Riswick and A.J. Van Opstal; "Relearning sound localization with new ears" in Nature Neuroscience 1 417 - 421 (1998)

3. A. Saxena and A. Y. Ng; "Learning Sound Location from a single microphone" in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '09) pp. 1737--1742 A. Saxena and A. Y. Ng; "Learning Sound Location from a single microphone" in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '09) pp. 1737--1742

4. A.J.R. Simpson G. Roma M.D. Plumbley; "Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network"; arXiv:1504.04658 A.J.R. Simpson G. Roma M.D. Plumbley; "Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network"; arXiv:1504.04658

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