No need to war-drive: Unsupervised indoor localization

MobiSys'12 - Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services

Volumn , Issue , 2012, Pages 197-210

  Wang, He ^a   Sen, Souvik ^a   Elgohary, Ahmed ^b   Farid, Moustafa ^b   Youssef, Moustafa ^b   Choudhury, Romit Roy ^a  

^a DUKE UNIVERSITY   (United States)

^b EJUST ^*  (Egypt)

Author keywords

landmarks; location; mobile phones; recursion; sensing

Indexed keywords

ACCESS POINTS; DEAD RECKONING; FLOORPLANS; INDOOR ENVIRONMENT; INDOOR LOCALIZATION; LANDMARKS; LOCATION ERRORS; MAGNETIC FLUCTUATION; RECURSIONS; SENSING; UNCONVENTIONAL APPROACHES;

LOCATION; MOBILE DEVICES; MOBILE PHONES; SHOPPING CENTERS;

GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS;

EID: 84864335859     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2307636.2307655     Document Type: Conference Paper

References (29)

1. V. Bahl et al. RADAR: An in-building rf-based user location and tracking system. In INFOCOM, 2000.
2. I. Constandache, R.R. Choudhury, and I. Rhee. Towards mobile phone localization without war-driving. In INFOCOM. IEEE, 2010.
3. M. Youssef and A. Agrawala. The horus WLAN location determination system. In MobiSys, 2005.
4. P. Krishnan and others. A system for LEASE: Location estimation assisted by stationary emitters for indoor rf wireless networks. In IEEE Infocom, March 2004.
5. Yu-Chung Cheng et al. Accuracy characterization for metropolitan-scale wi-fi localization. In MobiSys, 2005.
6. William G. Griswold et al. Activecampus: Experiments in community-oriented ubiquitous computing. Computer, 2004.
7. M. Youssef et al. Pinpoint: An asynchronous time-based location determination system. In ACM Mobisys, 2006.
8. S.J. Fontana, R.J.and Gunderson. Ultra-wideband precision asset location system. In IEEE Conference on Ultra Wideband Systems and Technologies, May 2002.
9. D. Niculescu and others. VOR base stations for indoor 802.11 positioning. In ACM MobiCom, 2004.
10. N. B. Priyantha. The cricket indoor location system. PhD thesis, MIT, 2005.
11. A. Savvides and M. Han, C.C. Srivastava. Dynamic fine-grained localization in ad-hoc networks of sensors. In ACM MobiCom, 2001.
12. J. Xiong and K. Jamieson. SecureAngle: improving wireless security using angle-of-arrival information. In ACM HotNets, 2010.
13. S. Sen et al. Precise Indoor Localization using PHY Layer Information. In ACM HotNets, 2011.
14. M. Azizyan et al. SurroundSense: Mobile phone localization via ambience fingerprinting. In MOBICOM, 2009.
15. M. Youssef, A. Youssef, C. Rieger, U. Shankar, and A. Agrawala. Pinpoint: An asynchronous time-based location determination system. In ACM MobiSys, 2006.
16. S. Kumar and D. Shepherd. Sensit: Sensor information technology for the warfighter. In Proc. 4th Int. Conf. on Information Fusion, 2001.
17. I. Constandache et al. Did you see bob?: human localization using mobile phones. In ACM MobiCom, 2010.
18. L. Bao and S. Intille. Activity recognition from user-annotated acceleration data. Pervasive Computing, pages 1-17, 2004.
19. J. Chung et al. Indoor location sensing using geo-magnetism. In MobiSys. ACM, 2011.
20. F. Evennou and F. Marx. Advanced integration of wifi and inertial navigation systems for indoor mobile positioning. EURASIP journal on applied signal processing, 2006:164-164, 2006.
21. Step size in pedometers. s.http://walking.about.com/cs/pedometers/a/ pedometerset.htm.
22. M. Alzantot and M. Youssef. Uptime: Ubiquitous pedestrian tracking using mobile phones. In IEEE Wireless Communications and Networking Conference (WCNC 2012). IEEE.
23. K. Chintalapudi, A. Iyer, and V. Padmanabhan. Indoor localization without the pain. In MOBICOM, 2010.
24. O. Woodman and R. Harle. Pedestrian localisation for indoor environments. In UbiComp. ACM, 2008.
25. M. Youssef et al. Gac: Energy-efficient hybrid gps-accelerometer-compass gsm localization. In IEEE GLOBECOM 2010,.
26. M. Montemerlo et al. Fastslam: A factored solution to the simultaneous localization and mapping problem. In Proceedings of the National conference on Artificial Intelligence, 2002.
27. B. Ferris, D. Fox, and N. Lawrence. Wifi-slam using gaussian process latent variable models. In Proceedings of the 20th International Joint Conference on Artificial Intelligence, pages 2480-2485, 2007.
28. S.P. Tarzia et al. Indoor localization without infrastructure using the acoustic background spectrum. In ACM MobiSys, 2011.
29. J. Lester, T. Choudhury, and G. Borriello. A practical approach to recognizing physical activities. Pervasive Computing, pages 1-16, 2006.