Magnetic field based heading estimation for pedestrian navigation environments

2011 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2011

Volumn , Issue , 2011, Pages

  Afzal, Muhammad Haris ^a   Renaudin, Valérie ^a   Lachapelle, Gérard ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Indoor Orientation Estimation; Magnetic Field; Pedestrian Navigation

Indexed keywords

DEAD RECKONING; EARTH'S MAGNETIC FIELD; ELECTRICAL INFRASTRUCTURE; ELECTRONIC DEVICE; FERROUS MATERIALS; HAND HELD DEVICE; LOCATION-BASED SERVICES; MAGNETIC ANOMALIES; MAGNETIC FIELD SENSORS; MEMS SENSORS; ORIENTATION ESTIMATION; ORIENTATION INFORMATION; PEDESTRIAN NAVIGATION; PRIMARY SENSORS; REAL WORLD DATA; REFERENCE SYSTEMS; SENSOR FUSION; SENSOR PLATFORM; URBAN ENVIRONMENTS;

ACCELEROMETERS; DETECTORS; ERRORS; ESTIMATION; GYROSCOPES; MAGNETIC FIELD MEASUREMENT; MAGNETIC FIELDS; MAGNETIC SENSORS; MAGNETISM; MAGNETOMETERS; NAVIGATION; STATISTICAL TESTS;

MAGNETIC FIELD EFFECTS;

EID: 82955161533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPIN.2011.6071947     Document Type: Conference Paper

References (15)

1. Bekir, E., Introduction to Modern Navigation Systems. 2007, Hackensack, N.J.: World Scientific. xiv, 240.
2. International Association of, G., et al., International Geomagnetic Reference Field: the eleventh generation. Geophysical Journal International. 183(3): p. 1216-1230.
3. Renaudin, V., M.H. Afzal, and G. Lachapelle. New Method for Magnetometers based Orientation Estimation. in IEEE/PLAN 2010. 2010. Palm Springs, CA: IEEE.
4. Afzal, M.H., V. Renaudin, and G. Lachapelle. Assessment of Indoor Magnetic Field Anomalies using Multiple Magnetometers. in ION GNSS10. 2010. Portland, Oregon: The Institute of Navigation.
5. Titterton, D.H. and J.L. Weston, Strapdown Inertial Navigation Technology. 2nd ed. IEE Radar, Sonar, Navigation, and Avionics Series; 17. 2004, Stevenage: Institution of Electrical Engineers.
6. Li, D., R.J. Landry, and P. Lavoie, Low-cost MEMS Sensor-based Attitude Determination System by Integration of Magnetometers and GPS: A Real-data Test and Performance Evaluation. 2008 IEEE/ION Position, Location and Navigation Symposium, Vols 1-3, 2008: p. 342-350.
7. Han, S., J. Wang, and N. Knight. Using Allan Variance to Determine the Calibration Model of Inertial Sensors for GPS/INS Integration. in 6th Interational Symposium on Mobile Mapping Technology. 2009. São Paulo, Brazil.
8. Suh, Y.S. and S. Park, Pedestrian Inertial Navigation with Gait Phase Detection Assisted Zero Velocity Updating, in Proceedings of the Fourth International Conference on Autonomous Robots and Agents, G.S. Gupta and S.C. Mukhopadhyay, Editors. 2009, IEEE: New York. p. 505-510.
9. Farrell, J. and M. Barth, The Global Positioning System and Inertial Navigation. 1999, New York; London: McGraw-Hill. xii, 340 p.
10. Xue, L., et al., MEMS-based Multi-sensor Integrated Attitude Estimation Technology For MAV Applications. 2009 4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, Vols 1 and 2, 2009: p. 1031-1035.
11. Faulkner, W.T., et al. GPS-Denied Pedestrian Tracking in Indoor Environments Using an IMU and Magnetic Compass. in Proceedings of the 2010 International Technical Meeting of the Institute of Navigation-ITM 2010. 2010. Washington: Institute of Navigation.
12. Roetenberg, D., H. Luinge, and P. Veltink. Inertial and Magnetic Sensing of Human Movement Near Ferromagnetic Materials. in Proceedings of the Second IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR '03). 2003. Los Alamitos: IEEE Computer Society.
13. Jimenez, A.R., et al. A Comparison of Pedestrian Dead-Reckoning Algorithms using a Low-Cost MEMS IMU. in WISP 2009: Proceedings of the 6th IEEE International Symposium on Intelligent Signal Processing. 2009. New York: IEEE.
14. Hippenstiel, R.D., Detection Theory Applications and Digital Signal Processing. 1st ed. 2002: CRC Press.
15. Honeywell. HMC5843 Data Sheet. 2010 [cited 2010 August]; Available from: http://www.honeywell.com/sites/servlet/com.merx.npoint.servlets.DocumentServlet? docid=DA9ACFE3C-F7C0-9998-6085-D9D84941499D.