Investigation and Compensation of the Magnetic Deviation on a Magnetometer of a Smartphone Caused by a Vehicle

The built-in magnetometer sensor of a smartphone is an attractive sensor suitable for detecting the direction of pedestrians' movements. This detection can be used to enable collision avoidance between cars and pedestrians, particularly if the pedestrian is not visible from inside the moving car. However, surrounding metallic materials have undesired effects and this influences the accuracy of the magnetometer. This paper investigates the amount of magnetic deviation caused by surrounding metallic material, such as a car, when the magnetometer sensor of a smartphone is used to determine the orientation. A set of experiments were conducted to investigate the effects of magnetic deviation. The experimental setup includes both parked and moving cars. Based on the results of the experiments, we show that the magnetic deviation can influence the efficiency of distinguishing the endangered or secure pedestrians in a car to pedestrian collision avoidance scenario. If we intend to use the magnetometer to detect the pedestrians' movement directions, the magnetic deviation needs to be compensated in order to detect the accurate movement direction of pedestrians. Therefore, in this paper we present a compensation algorithm, which successfully compensates the possible amount of magnetic deviation in the magnetometer of a smartphone.

[1]  Kenji Mase,et al.  Incremental motion-based location recognition , 2001, Proceedings Fifth International Symposium on Wearable Computers.

[2]  Rahim Tafazolli,et al.  uDirect: A novel approach for pervasive observation of user direction with mobile phones , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications (PerCom).

[3]  G. Lachapelle,et al.  Evaluation of a New Method of Heading Estimation for Pedestrian Dead Reckoning Using Shoe Mounted Sensors , 2005, Journal of Navigation.

[4]  J. Crandall,et al.  Designing road vehicles for pedestrian protection , 2002, BMJ : British Medical Journal.

[5]  E Bruehning,et al.  IRTAD - INTERNATIONAL ROAD TRAFFIC AND ACCIDENT DATABASE (STAND: 1993) , 1991 .

[6]  Xiaoming Hu,et al.  Autocalibration of an electronic compass for augmented reality , 2005, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05).

[7]  A. Fascioli,et al.  Pedestrian Protection Systems : Issues , Survey , and Challenges , 2007 .

[8]  Quentin Ladetto,et al.  Digital Magnetic Compass and Gyroscope for Dismounted Soldier Position & Navigation , 2002 .

[9]  Matthew Turk,et al.  Location-based augmented reality on mobile phones , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

[10]  K. David,et al.  CAR-2-X and Pedestrian Safety , 2010, IEEE Vehicular Technology Magazine.

[11]  Klaus David,et al.  A Physical Analysis of an Accident Scenario between Cars and Pedestrians , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[12]  M J Caruso,et al.  VEHICLE DETECTION AND COMPASS APPLICATIONS USING AMR MAGNETIC SENSORS , 1999 .

[13]  Klaus David,et al.  Car-2-X and Pedestrian Safety: Innovative Collision Avoidance System , 2010 .

[14]  Takuya Hashimoto,et al.  Prototype of pedestrian-to-vehicle communication system for the prevention of pedestrian accidents using both 3G wireless and WLAN communication , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[15]  Klaus David,et al.  A novel future Internet smart grid application for energy management in offices , 2013, 2013 Future Network & Mobile Summit.

[16]  Hui Fang,et al.  Design of a wireless assisted pedestrian dead reckoning system - the NavMote experience , 2005, IEEE Transactions on Instrumentation and Measurement.

[17]  W Koch,et al.  Comprehensive approach to increased pedestrian safety in pedestrian—car accidents , 2003 .

[18]  Sian Lun Lau,et al.  Pedestrian Movement Recognition for Radio Based Collision Avoidance: A Performance Analysis , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).