A pedestrian navigation system using a map-based angular motion model for indoor and outdoor environments

Journal of Location Based Services

Volumn 7, Issue 1, 2013, Pages 44-63

  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

ANGULAR MOTIONS; BAYESIAN; BETTER PERFORMANCE; BINARY DECISION; HUMAN MOTIONS; INDOOR POSITIONING; MULTI SENSOR; MULTI-MODAL; OUTDOOR ENVIRONMENT; PARTICLE FILTER; PARTICLE FILTERING; PEDESTRIAN NAVIGATION SYSTEMS; POSITIONING ACCURACY; PROBABILITY DENSITY FUNCTIONS (PDFS); SATELLITE IMAGES;

MAPS; NAVIGATION SYSTEMS; PROBABILITY DENSITY FUNCTION; SIGNAL FILTERING AND PREDICTION;

MONTE CARLO METHODS;

EID: 84873674351     PISSN: 17489725     EISSN: 17489733     Source Type: Journal    
DOI: 10.1080/17489725.2012.698110     Document Type: Article

References (17)

1. Angermann, M., et al., 2010. A high precision reference data set for pedestrian navigation using foot-mounted inertial sensors. In: International conference on indoor positioning and indoor navigation (IPIN) 2010, 15-17 September 2010, Zürich, Switzerland
2. Arulampalam, S. 2002. A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 50(2): 174-188.
3. Beauregard, S., Widyawan, and Klepal, M., 2008. Indoor PDR performance enhancement using minimal map information and particle filters. In: Proceedings of the IEEE/ION PLANS 2008, 6-8 May 2008, Monterey, CA, USA
4. Crouter, SE. 2003. Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Medicine & Science in Sports & Exercise, 35(8): 1455-1460.
5. Foxlin, E. 2005. Pedestrian tracking with shoe-mounted inertial sensors. IEEE Computer Graphics and Applications, 25(6): 38-46.
6. Kaiser, S., Khider, M., and Robertson, P., 2011. A human motion model based on maps for navigation systems. EURASIP Journal on Wireless Communications and Networking, 2011, 60
7. Kammann, J., Angermann, M., and Lami, B., 2003. A new mobility model based on maps. In: VTC 2003, 6-9 October 2003, Orlanda, FL, USA
8. Khider, M., et al., 2009. Maps and floor plans enhanced 3D movement model for pedestrian navigation. In: Proceedings of the ION GNSS 2009, 22-25 September 2009, Savannah, GA, USA
9. Kourogi, M., et al., 2009. Pedestrian dead reckoning and its applications. In: Proceedings ISMAR workshop: let's go out: research in outdoor mixed and augmented reality (ISMAR2009), Orlando, FL, USA
10. Koyuncu, H and Yang, H. 2010. A survey of indoor positioning and object locating systems. IJCSNS International Journal of Computer Science and Network Security, 10(5): 121-128.
11. Krach, B. and Robertson, P., 2008. Integration of foot-mounted inertial sensors into a Bayesian location estimation framework. In: Proceedings 5th workshop on positioning, navigation and communication (WPNC) 2008, 27 March 2008, Hannover, Germany
12. Liu, H. 2007. Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 37(6): 1067-1080.
13. Mautz, R. 2009. Overview of current indoor positioning systems. Research Journal of Vilnius Gediminas Technical University, Geodesy and Carteography 2009, 35(1): 18-22. (ISSN 1392-1541)
14. Mezentsev, O, Lachapelle, G and Collin, J. 2005. Pedestrian dead reckoning-a solution to navigation in GPS signal degraded areas?. Geomatica, 59(2): 175-182.
15. Robertson, P. and Angermann, M., 2009. Simultaneous localization and mapping for pedestrians using only foot-mounted intertial sensors. In: Proceedings of the UbiComp 2009, Orlando, FL, USA
16. Schmidt, GK and Azam, K. 1993. Mobile robot path planning and execution based on a diffusion equation strategy. Advanced Robotics, 7(5): 479-490.
17. Woodman, O. and Harle, R., 2008. Pedestrian localisation for indoor environments. In: Proceedings of the UbiComp 2008, 21-24 September 2008, Seoul, South Korea