Skip to main content
SpringerLink
Log in

Multisensor Systems

  • Living reference work entry
  • First Online:
Encyclopedia of Geodesy

  • 291 Accesses

Definition

Multisensor navigation system : a system that collects data from two or more onboard measurement subsystems that have been integrated at some level and synchronized to a common time base. Such system provides real-time positioning, navigation, and timing (PNT) information, that is, 3-dimensional (3D) position coordinates, velocity vector, and three orientation angles – heading, pitch and roll, or a subset of these parameters, depending on the application requirements, together with a timing information for each epoch of measurement. When multisensor systems are used for image georeferencing in mapping or 3D modeling applications, real-time operation is not, generally, required.

Introduction

The space-based PNT, delivered by the Global Navigation Satellite Systems (GNSS) is available to unlimited number of users around the world, and, in principle, allows every user to operate in the same reference system and timing standard. In recent years, PNT...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References and Reading

  • Anderson, R. S., Hanson, D. S., and Kourepenis, A. S., 2001. Evolution of low cost MEMS/GPS inertial system technologies. In Proceedings of the International Technical Meeting of the ION Satellite Division, 11–14 Sept 2001, Salt Lake City, pp. 1332–1343.

    Google Scholar 

  • Chiang, K., Noureldin, A., and El-Sheimy, N., 2003. Multi-sensor integration using neuron computing for land-vehicle navigation. GPS Solutions, 6(4), 209–218.

    Article  Google Scholar 

  • Dedes G., S. Wolfe, D. Guenther, B. Park, J. So, K. Mouskos, D. Grejner-Brzezinska, C. Toth, X. Wang, and G. Heydinger, 2012. A simulation design of an integrated GNSS/INU, vehicle dynamics, and microscopic traffic flow simulator for automotive safety. Special Issue of Advances in Transportation Studies 41–52.

    Google Scholar 

  • Grejner-Brzezinska, D., and Toth, C. K., 2013. GPS-challenged environments: can collaborative navigation help? Journal of Aeronautics, Astronautics and Aviation, Series A, 45(3), 211–218.

    Google Scholar 

  • Grejner-Brzezinska, D. A., Toth, C. K., Markiel, J. N., Moafipoor, S., and Czarnecka, K., 2011a. Integration of image-based and artificial intelligence algorithms: a novel approach to personal navigation, geodesy for planet Earth. International Association of Geodesy Symposia. Berlin/Heidelberg: Springer, Vol. 136, pp. 957–966. doi:10.1007/978-3-642-20338-1_120.

    Google Scholar 

  • Grejner-Brzezinska, D. A., Toth, C. K., Sun, H., Wang, X., and Rizos, C., 2011a. A robust solution to high-accuracy geolocation: quadruple integration of GPS, IMU, pseudolite and terrestrial laser scanning. IEEE Transactions on Instrumentation and Measurement, 60(11), 3694–3708.

    Article  Google Scholar 

  • Grejner-Brzezinska, D. A., Toth, C., and Yi, Y., 2005. On improving navigation accuracy of GPS/INS systems. Photogrammetirc Engineering and Remote Sensing, 71(4), 377–389.

    Article  Google Scholar 

  • Jozkow, G., Toth, C. K., Koppanyi, Z., and Grejner-Brzezinska, D. A., 2014. Combined matching of 2D and 3D Kinectâ„¢ data to support indoor mapping and navigation. In Proceedings of the ASPRS Annual Conference, Louisville, 26–28 Mar 2014, Web. http://www.asprs.org/a/publications/proceedings/Louisville2014/

  • Julier, S. J., and Uhlmann, J. K., 1997. A new extension of the Kalman filter to nonlinear systems. In Proceedings of the 11th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, Multi Sensor Fusion, Tracking and Resource Management II, SPIE, 20–25 Apr Orlando, pp. 182–193.

    Google Scholar 

  • Kee, C., Parkinson, B. W., and Axelrad, P., 1991. Wide area differential GPS, navigation. Journal of the Institute of Navigation, 38(2), 123–146.

    Article  Google Scholar 

  • Markiel, J. N., Grejner-Brzezinska, D. A., Toth, C. K., Woodward, W., and Moore, J., 2010. Underwater mapping and navigation: applications of 3D feature extraction algorithms to 3D sonar datasets. Proceedings if the ION 2010 National Technical Meeting, San Diego, 25–27 Jan, pp. 448–458.

    Google Scholar 

  • Moafipoor, S., Grejner-Brzezinska, D. A., and Toth, C. K., 2012. Real-time integrity monitoring of a dead reckoning personal navigator using a two-stage neural Kalman filter. The Journal of Navigation, 65(4), 635–649, doi:10.1017/S0373463312000240.

    Article  Google Scholar 

  • LaMance, J., DeSalas, J., and Järvinen, J., 2002. Assisted GPS: a low-infrastructure approach. GPS World, March 2002, pp. 46–51.

    Google Scholar 

  • Lee, J. K., Grejner-Brzezinska, D. A., and Toth, C., 2012. The network-based collaborative navigation for land vehicle applications in GPS-denied environment. Journal of Navigation, 65(3), 445–457.

    Article  Google Scholar 

  • Li, J., and Xiu, D., 2008. On numerical properties of the ensemble Kalman filter for data assimilation. Computer Methods in Applied Mechanics and Engineering, 197(43-44), 3574–3583.

    Article  Google Scholar 

  • Toth, C. K., Grejner-Brzezinska, D. A., Shin, S.-W., and Kwon, J., 2008. A Method for accurate time synchronization of mobile mapping systems. Journal of Applied Geodesy, 2, 159–166.

    Article  Google Scholar 

  • Toth, C. K., Grejner-Brzezinska, D. A., Oh, J., and Markiel, J. N., 2009. Terrain–based navigation: a tool to improve navigation and feature extraction performance of mobile mapping systems. Boletim de Ciências Geodésicas, 15(5), 807–823.

    Google Scholar 

  • Wan, E. A., and van der Merwe, R., 2001. Chapter 7: The unscented Kalman filter. In Haykin, S. (ed.), Kalman filtering and neural networks. New York: Wiley.

    Google Scholar 

  • van der Merwe, R., and Wan, E. A., 2004. Sigma-point Kalman filters for integrated navigation. Proceedings of ION Annual Meeting, Dayton, pp. 641–654.

    Google Scholar 

  • Van der Merwe, R., Doucet, A., de Freitas, N., and Wan, E., 2000. The unscented particle filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering.

    Google Scholar 

  • Veth, M., and Raquet, J., 2006. Fusion of low-cost imaging and inertial sensors for navigation. Proceedings of ION GNSS, 26–29 Sept, Forth Worth, pp. 1093–1103.

    Google Scholar 

  • Veth, M., and Raquet, J., 2007. Fusing low-cost image and inertial sensors for passive navigation. Navigation, 54(1), 11–20.

    Article  Google Scholar 

  • Xing, Z., and Gebre-Egziabher, D., 2009. Comparing non-linear filters for aided inertial navigators. Proceedings of the ION ITM, Anaheim, pp. 1048–1053.

    Google Scholar 

  • Yi, Y., and Grejner-Brzezinska, D. A., 2006. Tightly-coupled GPS/INS integration using unscented Kalman filter and particle filter. Proceedings ION GNSS, Fort Worth, 26–29 Sept, pp. 2182–2191.

    Google Scholar 

  • Yi, Y., Grejner-Brzezinska, D. A, Toth C. K., Wang, J., and Rizos, C., 2003. Performance analysis of land-based GPS/INS/Pseudolite integrated system. GPS World, July 2003, pp. 42–48.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, 470 Hitchcock Hall, Columbus, OH, USA

    Dorota A. Grejner-Brzezinska

Authors
  1. Dorota A. Grejner-Brzezinska
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dorota A. Grejner-Brzezinska .

Editor information

Editors and Affiliations

  1. Geodetic Institute, University of Stuttgart, Stuttgart, Germany

    Erik Grafarend

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this entry

Cite this entry

Grejner-Brzezinska, D.A. (2016). Multisensor Systems. In: Grafarend, E. (eds) Encyclopedia of Geodesy. Springer, Cham. https://doi.org/10.1007/978-3-319-02370-0_12-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02370-0_12-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-02370-0

  • eBook Packages: Springer Reference Earth and Environm. ScienceReference Module Physical and Materials ScienceReference Module Earth and Environmental Sciences

Publish with us

Policies and ethics

Search

Navigation