Analysis of the Accuracy of a Magnetic Field-Based Positioning System Including the Environment of a Parking Vehicle

In this paper a comparative study is conducted to analyze the accuracy of a magnetic field-based positioning system, for the position estimation of a vehicle relative to a charging device. The effect on position estimation accuracy of metallic structures on both the vehicle side and charging device’s side after the addition of steel floor reinforcements is studied. The best suited modelling tool is found to be Method of Moments after experimentally verifying the tool and comparing it on computational effort and accuracy to the Finite Element Method. It is found that a configuration with a metallic bottom plate including raised edges is the least influenced on the position estimation accuracy due to the steel floor reinforcements, independent on the transmitter location. Moreover, for the researched configurations a system with the transmitter located in the vehicle achieves a higher position estimation accuracy compared to a system with the transmitter in the charging device.

[1]  L. Reindl,et al.  New Approach in Precise Laser Tracking , 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

[2]  W. Richard Fright,et al.  The Effects of Metals and Interfering Fields on Electromagnetic Trackers , 1998, Presence.

[3]  Roland Siegwart,et al.  Automated valet parking and charging for e-mobility , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

[4]  Dcj Davy Krop,et al.  Integration of dual electromagnetic energy conversions : linear actuation with integrated contactless energy transfer , 2013 .

[5]  Brian D. O. Anderson,et al.  Rigidity, computation, and randomization in network localization , 2004, IEEE INFOCOM 2004.

[6]  M.R. Mahfouz,et al.  Real-Time Noncoherent UWB Positioning Radar With Millimeter Range Accuracy: Theory and Experiment , 2010, IEEE Transactions on Microwave Theory and Techniques.

[7]  Jun-ichi Takiguchi,et al.  A study of autonomous mobile system in outdoor environment. Part 5. Development of a self-positioning system with an omnidirectional vision system , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[8]  Simon A. Dobson,et al.  High-Accuracy Reference-Free Ultrasonic Location Estimation , 2012, IEEE Transactions on Instrumentation and Measurement.

[9]  R. Mautz Indoor Positioning Technologies , 2012 .

[10]  Arie Sheinker,et al.  Localization in 3-D Using Beacons of Low Frequency Magnetic Field , 2013, IEEE Transactions on Instrumentation and Measurement.

[11]  Marco Dionigi,et al.  Magnetic Field-Based Positioning Systems , 2017, IEEE Communications Surveys & Tutorials.

[12]  Alessio De Angelis,et al.  Design and Characterization of a Portable Ultrasonic Indoor 3-D Positioning System , 2015, IEEE Transactions on Instrumentation and Measurement.

[13]  D D Stancil,et al.  Experimental Demonstration of Complex Image Theory and Application to Position Measurement , 2011, IEEE Antennas and Wireless Propagation Letters.

[14]  Higher order loop corrections for short range magnetoquasistatic position tracking , 2011, 2011 IEEE International Symposium on Antennas and Propagation (APSURSI).

[15]  Alessio De Angelis,et al.  Magnetic field analysis for distance measurement in 3D positioning applications , 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[16]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[17]  Marco Dionigi,et al.  A 5.6-GHz UWB Position Measurement System , 2013, IEEE Transactions on Instrumentation and Measurement.

[18]  Ieee Standards Board,et al.  IEEE standard definitions of terms for radio wave propagation , 1990 .

[19]  Alessio De Angelis,et al.  Magnetic Field Analysis for 3-D Positioning Applications , 2017, IEEE Transactions on Instrumentation and Measurement.

[20]  Gail S. Kelley,et al.  DESIGN OF CONCRETE FLOORS With Particular Reference to Post-Tensioning , 2022 .

[21]  Henrik Vie Christensen,et al.  Position Detection Based on Intensities of Reflected Infrared Light , 2006 .

[22]  Andrew Markham,et al.  Magnetic Induction-Based Positioning in Distorted Environments , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[23]  Daniel D. Stancil,et al.  Three-dimensional position and orientation measurements using magneto-quasistatic fields and complex image theory [measurements corner] , 2014, IEEE Antennas and Propagation Magazine.

[24]  Abdelmoumen Norrdine,et al.  A robust and precise 3D indoor positioning system for harsh environments , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[25]  Alessio De Angelis,et al.  A Positioning System Based on Low-Frequency Magnetic Fields , 2016, IEEE Transactions on Industrial Electronics.

[26]  Stefano Panzieri,et al.  Sensor Networks Localization: Extending Trilateration via Shadow Edges , 2015, IEEE Transactions on Automatic Control.

[27]  R. Mahrt Principles of automatic guidance of vehicles on a lane means of permanent magnetic nails and board computer control , 1971 .

[28]  Alessio De Angelis,et al.  Analysis of Nonideal Effects and Performance in Magnetic Positioning Systems , 2016, IEEE Transactions on Instrumentation and Measurement.

[29]  Agathoniki Trigoni,et al.  Distortion Rejecting Magneto-Inductive Three-Dimensional Localization (MagLoc) , 2015, IEEE Journal on Selected Areas in Communications.

[30]  Ching-Yao Chan Magnetic sensing as a position reference system for ground vehicle control , 2002, IEEE Trans. Instrum. Meas..