Image Processing for Vehicular Applications

Reference work entry


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.


Vehicle Movement Controller Area Network Automatic Exposure Control Lane Marking Smart Camera 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 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 2006Google Scholar
  2. Broggi A, Medici P, Porta PP (2007) StereoBox: a robust and efficient solution for automotive short range obstacle detection. EURASIP J Embed Syst. doi:10.1155/2007/70256Google Scholar
  3. Cardani B (2006) Optical image stabilization for digital cameras. IEEE Control SystMag 26(2):21–22CrossRefGoogle Scholar
  4. Dickmans ED, Mysliwetz BD (1992) Recursive 3-D road and relative ego-state recognition. IEEE Trans Patt Anal Mach Intell 14:199–213CrossRefGoogle Scholar
  5. 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 2003Google Scholar
  6. Norén J (2008) Warning systems design in a glass cockpit environment. Thesis dissertation, University of LinkopingsGoogle Scholar
  7. 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 1994Google Scholar

Copyright information

© Springer-Verlag London Ltd. 2012

Authors and Affiliations

  1. 1.Dip. Ing. InformazioneUniversità di ParmaParmaItaly

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