Dimitrios Lymberopoulos
- A demo video made by one of the competing teams {13} showing the hallway and Room A in Figure 1(c) can be seen at: http://youtu.be/gQBSRw6qGn4Google Scholar
- Microsoft indoor localization competition. http://research.microsoft.com/en-us/events/ipsn2014indoorlocalizatinocompetition/.Google Scholar
- T. E. Abrudan, Z. Xiao, A. Markham, and N. Trigoni. IMU-Aided Magneto-Inductive Localization. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- S. Adler, S. Schmitt, Y. Yang, Y. Zhao, and M. Kyas. FubLoc: Accurate Range-based Indoor Localization and Tracking. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- A. Ashok, C. Xu, M. Gruteser, Y. Z. Richard Howard, and, N. Mandayam, W. Yuan, and K.Dana. InfraRad: A Radio-Optical Beaconing Approach for Accurate Indoor Localization. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- C. Beder and M. Klepal. Fingerprinting based localisation revisited - a rigorous approach for comparing RSSI measurements coping with missed access points and diering antenna attenuations. In 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2012.Google ScholarCross Ref
- V. Dentamaro, D. Colucci, and P. Ambrosini. Nextome: Indoor Positioning and Navigation System. http://www.nextome.org/index.php.Google Scholar
- A. S. Ferraz, A. G. Alvino, L. Q. L. Martins, and P. A. Bello. Ubee.in: An Indoor Location solution for mobile devices. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- A. Ghose, C. Bhaumik, N. Ahmed, A. Agrawal, V. Chandel, A. Kumar, and A. Pal. UnsupLoc: ASystem for Infrastructure Friendly Unsupervised Indoor Localization. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- T. V. Haute, E. D. Poorter, J. Rossey, I. Moerman, V. Handziski, A. Behboodi, F. Lemic, A. Wolisz, N. Wistrom, T. Voigt, P. Crombez, P. Verhoeve, and J. J. de las Heras. The EVARILOS Benchmarking Handbook: Evaluation of RF-based Indoor Localization Solutions. In MERMAT 2013, 5 2013.Google Scholar
- Z. Jiangy, W. Xiy, X.-Y. Li, J. Zhaoy, and J. Hany. HiLoc: A TDoA-Fingerprint Hybrid Indoor Localization System. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- P. Lazik and A. Rowe. Indoor pseudo-ranging of mobile devices using ultrasonic chirps. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, SenSys '12, pages 99--112, New York, NY, USA, 2012. ACM. Google ScholarDigital Library
- F. Lemic, J. Busch, M. Chwalisz, V. Handziski, and A. Wolisz. Demo abstract: Testbed infrastructure for benchmarking rf-based indoor localization solutions under controlled interference. In Proc. of 11th European Conference on Wireless Sensor Networks (EWSN'14), February 2014. Best Demo Award.Google Scholar
- C.-L. Li, C. Laoudias, G. Larkou, Y.-K. Tsai, D. Zeinalipour-Yazti, and C. G. Panayiotou. Indoor Geolocation on Multi-sensor Smartphones. In Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys '13, pages 503--504, New York, NY, USA, 2013. ACM. Google ScholarDigital Library
- L. Li, P. Hu, C. Peng, G. Shen, and F. Zhao. Epsilon: A Visible Light Based Positioning System. In 11th USENIX Symposium on Networked Systems Design and Implementation (NSDI 14), pages 331--343, Seattle, WA, Apr. 2014. USENIX Association. Google ScholarDigital Library
- L. Li, C. Zhao, G. Shen, and F. Zhao. Indoor Localization with Multi-modalities. Technical report, Microsoft Indoor Localization bCompetition, 2014.Google Scholar
- A. Marcaletti, M. Rea, D. Giustiniano, and V. Lenders. WINS: Tracking of Mobile Devices with WiFi Time-Of-Flight. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- M. Nikodem, S. Bialoskorski, T. Jankowski, D. Legizynski, and S. Szymczak. Indoor Localization Based on Low-power Chirp Transceivers. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- G. Pirkl and P. Lukowicz. Robust, low cost indoor positioning using magnetic resonant coupling. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing. International Conference on Ubiquitous Computing (Ubicomp-2012), 14th, September 5-8, Pittsburgh, PA, USA, pages 431--440. ACM, 2012. Google ScholarDigital Library
- R. Reimann, A. Bestmann, and M. Ernst. Locating Technology for AAL Applications with Direction Finding and Distance Measurement by Narrow Bandwidth Phase Analysis. In S. Chessa and S. Knauth, editors, Evaluating AAL Systems Through Competitive Benchmarking, volume 362 of Communications in Computer and Information Science, pages 52--62. Springer Berlin Heidelberg, 2013.Google Scholar
- V. Sark and E. Grass. Software Dened Radio for Time of Flight Based Ranging and Localization. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- T. Schmid and D. Lee. High Resolution Indoor RF Ranging. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- L. Selavo, I. Drikis, and A. Mednis. Localization Using Digitally Steerable Antennas. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
- Z. Xiao, H. Wen, A. Markham, and N. Trigoni. Lightweight map matching for indoor localization using conditional random elds. In The International Conference on Information Processing in Sensor Networks (IPSN'14), Berlin, Germany, 2014. Google ScholarDigital Library
- C. Zhang, J. Luo, and J. Wu. A Dual-Sensor Enabled Indoor Localization System with Crowdsensing Spot Survey. In IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS'14), 2014. Google ScholarDigital Library
- H. Zou, H. Jiang, and L. Xie. WiFi Based Indoor Localization System by Using Weighted Path Loss and Extreme Learning Machine. Technical report, Microsoft Indoor Localization Competition, 2014.Google Scholar
Recommendations
Indoor localization using multi-range beaconing: poster
MobiHoc '16: Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and ComputingThe increasing importance of location-aware computing and context-dependent services have led to a growing interest in low-cost indoor positioning with sub-meter accuracy. Bluetooth positioning has received increasing attention from both academia and ...
GSM indoor localization
Accurate indoor localization has long been an objective of the ubiquitous computing research community, and numerous indoor localization solutions based on 802.11, Bluetooth, ultrasound and infrared technologies have been proposed. This paper presents ...
Comments