Skip to main content

Image Processing for Vehicular Applications

  • Reference work entry
  • 12k Accesses

Abstract

In developing a vision system for a vehicle, different setup constraints and issues must be considered.

Space, wiring, or lighting are also typical issues to be also faced in industrial scenarios; nevertheless, when a vision system has to be deployed inside a vehicle they have to be more carefully studied and often drive the hardware selection.

Moreover, cameras are to be installed on moving vehicles and this led to additional problems to be faced. In fact, camera movements, oscillations and vibrations, or different and even extreme illumination conditions have to be taken in account when developing machine vision software.

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

Buying options

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

Learn about institutional subscriptions

References

  • Bombini L, Cerri P, Grisleri P, Scaffardi S, Zani P (2006) An evaluation of monocular image stabilization algorithms for automotive applications. In: Proceedings of the IEEE international conference on intelligent transportation systems 2006, Toronto, Canada, pp 1562–1567, Sept 2006

    Google Scholar 

  • Broggi A, Medici P, Porta PP (2007) StereoBox: a robust and efficient solution for automotive short range obstacle detection. EURASIP J Embed Syst. doi:10.1155/2007/70256

    Google Scholar 

  • Cardani B (2006) Optical image stabilization for digital cameras. IEEE Control SystMag 26(2):21–22

    Article  Google Scholar 

  • Dickmans ED, Mysliwetz BD (1992) Recursive 3-D road and relative ego-state recognition. IEEE Trans Patt Anal Mach Intell 14:199–213

    Article  Google Scholar 

  • Liang Y-M, Tyan H-R, Liao H-YM, Chen S-W (2003) Stabilizing image sequences taken by the camcorder mounted on a moving vehicle. In: Proceedingsof the IEEE international conference on intelligent transportation systems 2003, Shangai, China, pp 90–95, Oct 2003

    Google Scholar 

  • Norén J (2008) Warning systems design in a glass cockpit environment. Thesis dissertation, University of Linkopings

    Google Scholar 

  • Schiehlen J, Dickmanns E (1994) Design and control of a camera platform for machine vision. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems, Sendai, pp 2058–2063, Sept 1994

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Massimo Bertozzi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag London Ltd.

About this entry

Cite this entry

Bertozzi, M. (2012). Image Processing for Vehicular Applications. In: Eskandarian, A. (eds) Handbook of Intelligent Vehicles. Springer, London. https://doi.org/10.1007/978-0-85729-085-4_38

Download citation

Publish with us

Policies and ethics