Skip to main content

Camera Technologies

  • Reference work entry
  • 12k Accesses

Abstract

This chapter starts with a theoretical definition of the sensor technology and describes the main parameters suitable to classify cameras. The section continues with a brief discussion on optics and sensors. A section then is dedicated to camera-specific software such as firmwares, API, or dedicated SDK. The last section describes mechanical issues specific to vehicular applications.

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

  • Bertozzi M, Bombini L, Broggi A, Cerri P, Grisleri P, Zani P (2008) GOLD: a complete framework for developing artificial vision applications for intelligent vehicles. IEEE Intell Syst 23(1):69–71

    Article  Google Scholar 

  • Farsiu S, Elad M, Milanfar P (2006) Multiframe demosaicing and super-resolution of color images. IEEE Trans Image Process 15(1):141–159

    Article  Google Scholar 

  • Goi HK, Giesbrecht JL, Barfoot TD, Francis BA (2006) Electronic imaging: digital photography II. In: SPIE-proceedings, 22(6069), 2006

    Google Scholar 

  • Gortler SJ, Myszkowski K (2005) A collision mitigation system using laser scanner and stereovision fusion and its assessment. In: Real-time high dynamic range texture mapping, pp 313–320, June 2005

    Google Scholar 

  • Kang SB (2007) Automatic removal of chromatic aberration from a single image. In: IEEE conference on computer vision and pattern recognition, CVPR ’07, Redmond, pp 1–8, June 2007

    Google Scholar 

  • Reinhard E, Ward G, Pattanaik S, Debevec P (2005) High dynamic range imaging: acquisition, display and image-based lighting. Morgan Kaufmann Publishers, Amsterdam/Boston. ISBN 978-0-12-585263-0

    Google Scholar 

  • Zheng Y, Lin S, Kang SB (2006) Single-image vignetting correction. In: IEEE conference on computer vision and pattern recognition 2006, New York, June 2006

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paolo Grisleri .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag London Ltd.

About this entry

Cite this entry

Grisleri, P. (2012). Camera Technologies. In: Eskandarian, A. (eds) Handbook of Intelligent Vehicles. Springer, London. https://doi.org/10.1007/978-0-85729-085-4_39

Download citation

Publish with us

Policies and ethics