A human motion model based on maps for navigation systems

Eurasip Journal on Wireless Communications and Networking

Volumn 2011, Issue 1, 2011, Pages

  Kaiser, Susanna ^a   Khider, Mohammed ^a   Robertson, Patrick ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

human motion models; indoor positioning; maps; multi sensor navigation; particle filtering

Indexed keywords

BAYESIAN NETWORKS; FLOORS; INDOOR POSITIONING SYSTEMS; MAPS; MONTE CARLO METHODS; NAVIGATION SYSTEMS; SIGNAL FILTERING AND PREDICTION; WALLS (STRUCTURAL PARTITIONS);

HUMAN MOTION MODELING; HUMAN MOTIONS; INDOOR POSITIONING; LOCALIZATION ALGORITHM; MULTI SENSOR; PARTICLE FILTERING; PARTICLE FILTERS (PFS); SEQUENTIAL BAYESIAN ESTIMATION;

PROBABILITY DENSITY FUNCTION;

EID: 84964305228     PISSN: 16871472     EISSN: 16871499     Source Type: Journal    
DOI: 10.1186/1687-1499-2011-60     Document Type: Article

References (31)

1. Koyuncu H, Yang H: A survey of indoor positioning and object locating systems. IJCSNS Int J Comput Sci Netw Secur 2010, 10(5):121-128.
2. Mautz R: Overview of current indoor positioning systems. Res J Vilnius Gediminas Tech Univ Geodesy Carteogr 2009, 35(1):18-22. ISSN 1392-1541
3. Liu H: Survey of wireless indoor positioning techniques and systems. IEEE Trans Syst Man Cybern C: Appl Rev 2007, 37(6):1067-1080.
4. Foxlin E: Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput Graph Appl 2005, 25(6):38-46. 10.1109/MCG.2005.140
5. Mezentsev O, Lachapelle G, Collin J: Pedestrian dead reckoning--a solution to navigation in GPS signal degraded areas? Geomatica 2005, 59(2):175-182.
6. Kourogi M, Ishikawa T, Kameda Y, Ishikawa J, Aoki K, Kurata T: Pedestrian dead reckoning and its applications. In Proc ISMAR workshop: Let's Go Out: Research in Outdoor Mixed and Augmented Reality (ISMAR2009). Orlando, USA;
7. Crouter SE, Schneider P, Karabulut M, Bassett DR: Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med Sci Sports Exer 2003, 35(8):455-1460.
8. Angermann M, Robertson P, Kemptner T, Khider M: A high precision reference data set for pedestrian navigation using foot-mounted inertial sensors. In International Conference on Indoor Positioning and Indoor Navigation 2010 (IPIN 2010). Zürich, Switzerland; 2010.
9. Krach B, Robertson P: Integration of foot-mounted inertial sensors into a Bayesian location estimation framework. In Proc 5th Workshop on Positioning, Navigation and Communication 2008 (WPNC 2008). Hannover, Germany; 2008.
10. Woodman O, Harle R: Pedestrian localisation for indoor environments. In Proc of the UbiComp 2008. Seoul, South Korea; 2008.
11. Widyawan Klepal M, Beauregard S: A backtracking particle filter for fusing building plans with PDR displacement estimates. Proc of the 5th Workshop on Positioning, Navigation and Communication 2008 (WPNC'08) 2008, 207-212.
12. Khider M, Kaiser S, Robertson P, Angermann M: Maps and floor plans enhanced 3D movement model for pedestrian navigation. In Proceedings of the ION GNSS 2009. Georgia, USA; 2009:790-802.
13. Arulampalam S, Maskell S, Gordon N, Clapp T: A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process 2002, 50(2):174-188. 10.1109/78.978374
14. Kammann J, Angermann M, Lami B: A new mobility model based on maps. Proceedings of VTC 2003 2003, 5: 3045-3049.
15. Brakatsoulas S, Pfoser D, Wenk C: On map-matching vehicle tracking data. Randall Salas, VLDB 2005.
16. Scott C: Improved GPS positioning for motor vehicles through map matching. In Proceeding of ION GPS-94. Salt Lake City; 1994.
17. Tradišauskas N, Tiešytėdalia D, Jensen CS: A study of map matching for GPS positioned mobile objects. 7th WIM Meeting, Uppsala, Sweden, September 2004
18. Davidson P, Collin J, Raquet J, Takala J: Application of particle filters for vehicle positioning using road maps. 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation, Portland, OR 2010, 1653-1661.
19. Han Y-Q, Chen J-B, Liu Z-D, Song C-L, Zhao D-H: A new correction method for dead reckoning navigation system based on digital map. In Proceedings of the Ninth Int. Conf. on Machine Learning and Cybernetics. Qingdao; 2010:1378-1383.
20. Gusenbauer D, Isert C, Krösche J: Self-contained indoor positioning on off-the-shelf mobile devices. In Proceedings of the International Conference on Indoor Positioning and Indoor Navigation. ETH Zürich; 2010.
21. Wagner J, Isert C, Purschwitz A, Arnold K: Improved vehicle positioning for indoor navigation in parking garages through commercially available maps. In Proceedings of the International Conference on Indoor Positioning and Indoor Navigation. ETH Zürich; 2010.
22. Klingbeil L, Romanovas M, Schneider P, Traechtler M, Manoli Y: A modular and mobile system for indoor localization. In Proceedings of the International Conference on Indoor Positioning and Indoor Navigation. ETH Zürich; 2010.
23. Borestein J, Ojeda L, Kwanmuang S: Heuristic reduction of gyro drift in IMU-based personnel tracking system. In SPIE Defense, Security and Sensing Conference. Orlando, Florida, USA; 2009:1-11.
24. Jimenez AR, Seco F, Prieto JC, Guevara J: Indoor pedestrian navigation using an INS/EKF framework for yaw drift reduction and a foot-mounted IMU. In 7th Workshop on Positioning, Navigation and Communication 2010 (WPNC'10). Dresden, Germany; 2010.
25. Rajagopal S: Personal dead reckoning system with shoe mounted inertial sensors. Master of Science Thesis, Stockholm, Sweden 2008, 1-45.
26. Bevermeier M, Walter O, Peschke S, Haeb-Umbach R: Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter. In 7th Workshop on Positioning, Navigation and Communication 2010 (WPNC'10). Dresden, Germany; 2010.
27. Khider M, Kaiser S, Robertson P, Angermann M: A three dimensional movement model for pedestrian navigation. European Navigation Conference--Global Navigation Satellite Systems 2009 (ENC-GNSS 2009), Napoli, Italy 2009.
28. Grewal M, Weill L, Andrews A: Global Positioning Systems, Inertial Navigation, and Integration. Volume 5. 2nd edition. IEE Radar, Navigation and Avionics Series, Wiley, New York; 2001.
29. Titterton DH, Weston JL: Strapdown Inertial Navigation Technology. Volume 5. 2nd edition. IEE Radar, Navigation and Avionics Series, Peter Peregrinus Ltd., London; 2004.
30. Gordon N, Salmond D, Smith A: Novel approach to nonlinear and non-Gaussian Bayesian state estimation. Proc Inst Elect Eng 1993, 140: 107-113.
31. Schmidt GK, Azam K: Mobile robot path planning and execution based on a diffusion equation strategy. Adv. Robot 1993, 7(5):479-490.