Fusing Multiple Inexpensive GPS Heading Data via Fuzzified Ad-Hoc Weighing

Felipe P. Vista IV; Deok Jin Lee; Kil To Chong

doi:10.4028/www.scientific.net/AMM.776.425

Paper Titles

Mobile Robot Motion Planning to Avoid Obstacle Using Modified Ant Colony Optimization
p.396

Mobile Robot Motion Control Using Laguerre-Based Model Predictive Control
p.403

Experimental Investigation of Micro-Hydro Waterwheel Models to Determine Optimal Efficiency
p.413

Understanding Peak Average Power Ratio in VFFT-OFDM Systems
p.419

Fusing Multiple Inexpensive GPS Heading Data via Fuzzified Ad-Hoc Weighing
p.425

Tree Data Structure Implementation in Android Base System of E-Ulambebantenan
p.431

Design and Implementation of Web-Based Geographic Information Systems on Mapping Hindu’s Temple
p.437

Improving Biogas Quality through Circulated Water Scrubbing Method
p.443

Study on Solar Generating Apparatus for Solving Problem of Shadow
p.449

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 776Fusing Multiple Inexpensive GPS Heading Data via...

Fusing Multiple Inexpensive GPS Heading Data via Fuzzified Ad-Hoc Weighing

Abstract:

Applying the same principle behind the Ad-hoc weighing used in fusing data from two inexpensive GPS and an electronic compass (EC) brought up the problem of numerous conditions when trying to fuse data from three GPS devices. Fusing data from two GPS and one EC required at least thirty-two (32) conditions while using three GPS would require 182 conditions that would have entailed a complex set of programming codes. Fuzzy logic was explored as a possible candidate to replace the hard-coding of if-then-statements but still perform the ad-hoc algorithm as desired. The GPS Fix and HDOP (horizontal dilution of precision) values are utilized to derive the corresponding weight to be assigned to the individual GPS as well as the overall fused GPS data. Experimental tests using actual GPS data showed the effectivity of the proposed method.

You might also be interested in these eBooks

Recent Decisions in Technologies for Sustainable Development

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 776)

Pages:

425-430

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.776.425

Citation:

Cite this paper

Online since:

July 2015

Authors:

Felipe P. Vista IV, Deok Jin Lee, Kil To Chong*

Keywords:

Ad-Hoc Weighing, Fuzzy Logic, GPS Fix, GPS HDOP, Inexpensive GPS

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Q. Jiang, J. Li, Y. Du, G. Li, and Y. Li, The attitude-measuring and positioning system based on GPS and electronic compass, in Information Science and Engineering (ICISE), 2010 2nd International Conference on, 2010, pp.1589-1592.

DOI: 10.1109/icise.2010.5689015

Google Scholar

[2] E. P. Herrera, H. Kaufmann, and R. Quirós, Assessment of Step Determination in a GPS/Compass/IMU System for Personal Positioning.

Google Scholar

[3] X. Yang, L. Mejias, and M. Garratt, Multi-sensor data fusion for uav navigation during landing operations, in Proceedings of the 2011 Australian Conference on Robotics and Automation, 2011, pp.1-10.

Google Scholar

[4] J. Talaya, R. Alamus, E. Bosch, A. Serra, W. Kornus, and A. Baron, Integration of a terrestrial laser scanner with GPS/IMU orientation sensors, in Proceedings of the XXth ISPRS Congress, 2004, pp.1049-1055.

Google Scholar

[5] F. Samadzadegan and G. Abdi, Autonomous navigation of Unmanned Aerial Vehicles based on multi-sensor data fusion, in Electrical Engineering (ICEE), 2012 20th Iranian Conference on, 2012, pp.868-873.

DOI: 10.1109/iraniancee.2012.6292475

Google Scholar

[6] M. Joerger and B. Pervan, Measurement-Level Integration of Carrier-Phase GPS and Laser-Scanner for Outdoor Ground Vehicle Navigation, Journal of Dynamic Systems Measurement and Control-Transactions of the Asme, vol. 131, Mar (2009).

DOI: 10.1115/1.3072122

Google Scholar

[7] M. Xiangyu, C. Rong, and L. Kai, Research on attributes discretization in target fusion syetem, in Information and Communication Technologies (WICT), 2012 World Congress on, 2012, pp.1166-1170.

DOI: 10.1109/wict.2012.6409251

Google Scholar

[8] T. Yairi, K. Hori, and S. Nakasuka, Sensor space discretization in autonomous agent based on entropy minimization of behavior outcomes, " in Multisensor Fusion and Integration for Intelligent Systems (MFI , 99). 1999 IEEE/SICE/RSJ International Conference on, 1999, pp.111-116.

DOI: 10.1109/mfi.1999.815974

Google Scholar

[9] M. A. A. Akhoundi and E. Valavi, Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics, arXiv preprint arXiv: 1010. 6096, (2010).

Google Scholar

[10] B. Li, C. Rizos, H. K. Lee, and H. K. Lee, A GPS-slaved time synchronization system for hybrid navigation, GPS solutions, vol. 10, pp.207-217, (2006).

DOI: 10.1007/s10291-006-0022-z

Google Scholar

[11] Y. L. Zhang, J. H. Park, N. O. Sel, and K. T. Chong, Robot Navigation Using a DR/GPS Data Fusion, Applied Mechanics and Materials, vol. 392, pp.261-266, (2013).

DOI: 10.4028/www.scientific.net/amm.392.261

Google Scholar

[12] Z. Ercan, V. Sezer, H. Heceoglu, C. Dikilitas, M. Gokasan, A. Mugan, and S. Bogosyan, Multi-sensor data fusion of DCM based orientation estimation for land vehicles, in Mechatronics (ICM), 2011 IEEE International Conference on, 2011, pp.672-677.

DOI: 10.1109/icmech.2011.5971200

Google Scholar

[13] F. P. Vista IV, D. J. Lee, and K. T. Chong, Fusing Data from Multiple Inexpensive GPS and an Electronic Compass to Increase Heading Accuracy in Real Time, Advanced Science Letters (In press), (2014).

DOI: 10.1166/asl.2014.5611

Google Scholar

[14] F. P. Vista IV and K. T. Chong, System Design, Development & Deployment Using Rapid by-Customer Demand with Business Principles Approach, Malaysian Journal of Computer Science, vol. 26, pp.76-86, (2013).

DOI: 10.22452/mjcs.vol26no1.7

Google Scholar