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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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 1997
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 196–200
MVT Ltd. (2004) Mobileye N.V. Blind spot detection and lane change assist (BSD/L-CA). http://www.mobileye-vision.com
Sun Z, Bebis G, Miller R (Mar. 2006) On-road vehicle detection: a review. IEEE Trans Patt Anal Mach Intell 28(5):694–711
VOLVO Technologies (2007) Blind spot information system (BLIS) by volvo. http://volvo.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag London Ltd.
About this entry
Cite this entry
Cardarelli, E. (2012). Vision-Based Blind Spot Monitoring. In: Eskandarian, A. (eds) Handbook of Intelligent Vehicles. Springer, London. https://doi.org/10.1007/978-0-85729-085-4_44
Download citation
DOI: https://doi.org/10.1007/978-0-85729-085-4_44
Publisher Name: Springer, London
Print ISBN: 978-0-85729-084-7
Online ISBN: 978-0-85729-085-4
eBook Packages: EngineeringReference Module Computer Science and Engineering