Skip to main content
SpringerLink
Log in

State-of-the-Art In-Car Navigation: An Overview

  • Reference work entry
Handbook of Intelligent Vehicles

Abstract

The basics around in-car navigation is discussed, including the principals of contemporary systems, global navigation satellite system basics, dead-reckoning, map-matching, and strategies for information fusion. In-car navigation system are generally made out of three building blocks, an information source block, an information fusion block, and an user interface block. This chapter presents an overview of the information source block and the information fusion block. First, the ideas of operation and main characteristics of the four most commonly used information sources, global navigation satellite systems, vehicle motion sensors, road maps, and mathematical models of the vehicle dynamics, are reviewed. Thereafter, common techniques to combine the information from the different information sources into an estimate of the position, velocity, etc. of the car are reviewed.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 849.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Abbott E, Powell D (1999) Land-vehicle navigation using GPS. Proc IEEE 87(1):145–162

    Article  Google Scholar 

  • Alban S, Akos DM, Rock SM (2003) Performance analysis and architectures for INS-aided GPS tracking loops. In: Proceedings of National Technical Meeting of the Institute of Navigation, ION-NTM 03, Santa Monica, Jan 2003

    Google Scholar 

  • Bhatti UI, Ochieng WY (2007) Failure modes and models for integrated GPS/INS systems. J Navigation 60:327–348

    Article  Google Scholar 

  • Britting KR (1971) Inertial navigation systems analysis. Wiley Interscience, New York

    Google Scholar 

  • Chatfield AB (1997) Fundamentals of high accuracy inertial navigation. AIAA, Washington

    Google Scholar 

  • Daum F (2005) Nonlinear filters: Beyond the Kalman filter. IEEE Aerospace and Electronic Systems Magazine, vol 20, issue 8, pp 57–69

    Google Scholar 

  • Dissanayake G, Sukkarieh S, Nebot E, Durrant-Whyte H (2001) The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications. IEEE Trans Robot Autom 17(5):731–747

    Article  Google Scholar 

  • Drane C, Rizos C (1998) Positioning systems in intelligent transportation systems. Artech House, Boston

    Google Scholar 

  • El-Sheimy N, Niu X (2007) The promise of MEMS to the navigation cummunity. InsideGPS, March/April 2007, pp 46–56

    Google Scholar 

  • Farrell J, Barth M (1998) The global positioning system and inertial navigation. McGraw-Hill, New York

    Google Scholar 

  • Gao Y, Krakiwsky EJ, Abousalem MA (1993) Comparison and analysis of centralized, decentralized, and federated filters. Navigation 40(1):69–86

    Google Scholar 

  • Grewal MS, Weill LR, Andrews AP (2007) Global positioning systems, inertial navigation and integration, 2nd edn. Wiley, New York

    Book  Google Scholar 

  • Jekeli C (2000) Inertial navigation systems with geodetic applications. Walter de Gruyter, New York

    Google Scholar 

  • Julier SJ, Durrant-Whyte H (2003) On the role of process models in autonomous land vehichle navigation systems. IEEE Trans Robot Autom 19(1):1–14

    Article  Google Scholar 

  • Kailath T, Sayed AH, Hassibi B (1999) Linear estimation. Prentice Hall, Englewood Cliffs

    Google Scholar 

  • Karlsson R, Schön T, Gustafsson F (2005) Complexity analysis of the marginalized particle filter. IEEE Trans Signal Process 53(11):4408–4411

    Article  MathSciNet  Google Scholar 

  • Kerr TH (1989) Status of cr-like lower bounds for nonlinear filtering. IEEE Trans Aeros Electron Syst 25(5):590–601

    Article  MathSciNet  Google Scholar 

  • Quddus MA, Ochieng WY, Noland RB (2007) Current map-matching algorithms for transport applications: state-of-the art and future research directions. Transport Res Part C EmerTechnol 15(5):312–328

    Article  Google Scholar 

  • Rogers RM (2003) Applied mathematics in integrated navigation systems. AIAA, Education Series, Reston

    Google Scholar 

  • Schön T, Gustfasson F, Nordlund PJ (2005) Marginalized particle filters for mixed linear/nonlinear state-space models. IEEE Trans Signal Process 53(7):2279–2289

    Article  MathSciNet  Google Scholar 

  • Skog I, Händel P (2009) In-car positioning and navigation technologies – a survey. IEEE Trans Intell Transp Syst 10:4–21

    Article  Google Scholar 

  • Sukkarieh S, Nebo EM, Durrant-Whyte HF (1999) A high integrity IMU/GPS navigation loop for autonomous land vehicle applications. IEEE Trans Robot Autom 15(3):572–578

    Article  Google Scholar 

  • Tan CW, Park S (2005) Design of accelerometer-based inertial navigation systems. IEEE Trans Instrum Meas 54(6):2520–2530

    Article  Google Scholar 

  • Tichavský P, Muravchik CH, Nehorai A (1998) Posterior Cramér-Rao bounds for discrete-time nonlinear filtering. IEEE Trans Signal Process 46(5):1386–1396

    Article  Google Scholar 

  • Titterton DH, Weston JL (2004) Strapdown inertial navigation technology, 2nd edn. IEE, Virgina

    Book  Google Scholar 

  • Yan LP, Liu BS, Zhou DH (2007) Asynchronous multirate multisensor information fusion algorithm. IEEE Trans Aeros Electron Syst 43(3):1135–1146

    Article  MathSciNet  Google Scholar 

  • Zhao Y (1997) Vehicle location and navigation systems. Artech House, Boston

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electrical Engineering, KTH Royal Institute of Technology, SE 10044, Stockholm, Sweden

    Dr. Isaac Skog & Peter Händel

Authors
  1. Dr. Isaac Skog
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Peter Händel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Isaac Skog .

Editor information

Editors and Affiliations

  1. Center for Intelligent Systems Research, The George Washington University, 801 22nd Street, NW, Phillips Hall 630, Washington, DC, 20052, USA

    Azim Eskandarian

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag London Ltd.

About this entry

Cite this entry

Skog, I., Händel, P. (2012). State-of-the-Art In-Car Navigation: An Overview. In: Eskandarian, A. (eds) Handbook of Intelligent Vehicles. Springer, London. https://doi.org/10.1007/978-0-85729-085-4_17

Download citation

Publish with us

Policies and ethics

Search

Navigation