This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
A Monocular Vision Advance Warning System for the Automotive Aftermarket
Technical Paper
2005-01-1470
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Driver inattention and poor judgment are the major causes of motor vehicle accidents (MVA). Extensive research has shown that intelligent driver assistance systems can significantly reduce the number and severity of these accidents. The driver's visual perception abilities are a key factor in the design of the driving environment. This makes image processing a natural candidate in any effort to impact MVAs. The vision system described here encompasses 3 major capabilities: (i) Lane Departure Warning (ii) Headway Monitoring and Warning (iii) Forward Collision Warning. This paper describes in detail the different warning features, the HMI (visual and acoustic) application design rules, and results of a study in which the system was installed in a commercial fleet and passenger vehicles.
Recommended Content
Authors
Citation
Gat, I., Benady, M., and Shashua, A., "A Monocular Vision Advance Warning System for the Automotive Aftermarket," SAE Technical Paper 2005-01-1470, 2005, https://doi.org/10.4271/2005-01-1470.Also In
Automotive Electronics on CD-ROM from the SAE 2005 World Congress
Number: SP-1980CD; Published: 2005-04-11
Number: SP-1980CD; Published: 2005-04-11
Intelligent Vehicle Initiative (VI) Technology 2005--Advanced Controls and Navigation Systems
Number: SP-1920; Published: 2005-04-11
Number: SP-1920; Published: 2005-04-11
SAE 2005 Transactions Journal of Passenger Cars: Electronic and Electrical Systems
Number: V114-7; Published: 2006-02-01
Number: V114-7; Published: 2006-02-01
References
- Organization for Economic Cooperation & Development Paris
- The National Safe Driving Test & initiative Partners http://edition.cnn.com
- National Transportation Safety Board Special Investigation Report - Highway Vehicle- and Infrastructure-based Technology For the Prevention of Rear-end Collisions May 2001
- http://www.iteris.com
- Zador P. Krawchuck S. Voas R. Automotive Collision Avoidance System (ACAS) Program/First Annual Report NHTSA - National Highway Traffic Safety Administration http://www.nhtsa.dot.gov/ August 2000
- National Safety Council Defensive driving course 1992
- Ben-Yaacov A. Maltz M. Shinaar D. Effects of an in-vehicle collision avoidance warning system on short- and long-term driving performance Hum Factors 335 342 2002
- Stein G. Mano O. Shashua A. Vision-based ACC with a Single Camera: Bounds on Range and Range Rate Accuracy IEEE Intelligent Vehicles Symposium (IV2003) June 2003
- Mano O. Stein G. Dagan E. Shashua A. Forward Collision Warning with a Single Camera IEEE Intelligent Vehicles Symposium (IV2004) June 2004 Parma, Italy
- Stein G. Mano O. Shashua A. A Robust Method for Computing Vehicle Ego-motion IEEE Intelligent Vehicles Symposium (IV2000) Oct. 2000 Dearborn, MI
- Mohan A. Papageorgiou C. Poggio T. Example-based object detection in images by components IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 23 349 361 April 2001
- Lowe D. G. Distinctive image features from scale-invariant keypoints International Journal of Computer Vision 2004
- Freund Y. Schapire R. E. Experiments with a new boosting algorithm Proceedings of International Conference on Machine Learning (ICML) 148 156 1996