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Vision-Based Blind Spot Monitoring

  • Elena Cardarelli

Abstract

These sections introduce a vision-based system designed for monitoring the area that a driver cannot see from exterior mirrors, usually referred to as blind spot.

This is a challenging task that requires to discriminate from vehicles and background when both are not static and also to cope with usual automotive problems like camera vibrations and oscillations.

Keywords

Optical Flow Current Frame Blind Spot Template Match Vehicle Detection 
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.

References

  1. Batavia PH, Pomerleau DA, Thorpe CE (1997) Overtaking vehicle detection using implicit optical flow. In: Proceedings of the IEEE internationl conference on intelligent transportation systems‘97, Boston, USA, pp 729–734, Nov 1997Google Scholar
  2. Mae Y, Shirai Y, Miura J, Kuno Y (1996) Object tracking in cluttered background based on optical flows and edges. In: Proceedings of the 1996 international conference on pattern recognition (ICPR’96), vol 1– 7270. IEEE Computer Society, Washington, DC, USA, pp 196–200CrossRefGoogle Scholar
  3. MVT Ltd. (2004) Mobileye N.V. Blind spot detection and lane change assist (BSD/L-CA). http://www.mobileye-vision.com
  4. Sun Z, Bebis G, Miller R (Mar. 2006) On-road vehicle detection: a review. IEEE Trans Patt Anal Mach Intell 28(5):694–711CrossRefGoogle Scholar
  5. VOLVO Technologies (2007) Blind spot information system (BLIS) by volvo. http://volvo.com

Copyright information

© Springer-Verlag London Ltd. 2012

Authors and Affiliations

  • Elena Cardarelli
    • 1
  1. 1.Dip. Ing. InformazioneUniversità di ParmaParmaItaly

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