Windshield Warning System for Intelligent Vehicles

Article Preview

Abstract:

The present study proposes a windshield warning system for vehicles that marks potential hazardous objects in front via marks on the windshield. The target is identified by the camera and the software system and then used to construct the line-of-sight equation based on the coordinate system of the moving vehicle. The explicit equation of the intersection point of the line of sight and the windshield surface is derived using an algebraic method. A warning mark is then projected at the intersection point on the windshield by a two-degree-of-freedom laser projector, allowing the driver to easily identify the obstacle. The feasibility of the proposed system was verified using an actual vehicle. Results show that the system can perform the required function in real time.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2085-2091

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Bensrhair, A., Bertozzi, M., Broggi, A., Miché, P., Mousset, S., and Toulminet, G., A Cooperative Approach to Vision-Based Vehicle Detection, Proceedings of the 2001 IEEE Intelligent Transportation System. (2001) 207-212.

DOI: 10.1109/itsc.2001.948657

Google Scholar

[2] Kastrinaki, V., Zervakis, M., and Kalaitzakis, K., A Survey of Video Processing Techniques for Traffic Applications, Journal of Image and Vision Computing (2003) 359-381.

DOI: 10.1016/s0262-8856(03)00004-0

Google Scholar

[3] Li, X., Yao, X., Murphey, Y. L., Karlsen, R., and Gerhart, G., A Real-Time Vehicle Detection and Tracking System in Outdoor Traffic Scenes, Proceedings of the 17th International Conference on Pattern Recognition. 2 (2004) 761-764.

DOI: 10.1109/icpr.2004.1334370

Google Scholar

[4] Jenkins, D. P., Stanton, N. A., Walker, G. H., and Young, M. S., A New Approach to designing lateral collision warning system, International Journal of Vehicle Design. 45(3) (2007) 379-396.

DOI: 10.1504/ijvd.2007.014911

Google Scholar

[5] Hammoud, R. I., Smith, M. R., Dufour, R., Bakowski, D., and Witt, G., Driver Distraction Monitoring and Adaptive Safety Warning Systems, Proceedings of SAE Commercial Vehicles Engineering Congress and Exhibition. (2008) Paper No. 2008-01-2694.

DOI: 10.4271/2008-01-2694

Google Scholar

[6] Gao, D., Li, W., Duan, J., and Zheng, B., A Practical Method of Road Detection for Intelligent Vehicle, Proceedings of the 2009 IEEE International Conference on Automation and Logistics. (2009) 980-985.

DOI: 10.1109/ical.2009.5262562

Google Scholar

[7] Hsiao, P. Y., Yeh, C. W., Huang, S. S., and Fu, L. C., A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night, IEEE Transactions on Vehicular Technology. 58(4) (2009) 2089-(2094).

DOI: 10.1109/tvt.2008.2006618

Google Scholar

[8] Lin, Y. R., and Li, Y. H., FPGA Implementation of a Vision-Based Blind Spot Warning System, World Academy of Science, Engineering and Technology. (2010) 896-900.

Google Scholar

[9] Gellert, W., Gottwald, S., Hellwich, M., Kästner, H., and Künstner, H., Plane, VNR Concise Encyclopedia of Mathematics, New York. (1989) 539-543.

DOI: 10.1007/978-94-011-6982-0_12

Google Scholar

[10] Information on http: /mathworld. wolfram. com/Plane. html.

Google Scholar

[11] Information on http: /www. luxgen-motor. com. tw/cars/7-MPV.

Google Scholar

[12] Information on http: /www. viatech. com. tw.

Google Scholar

[13] Information on http: /www. espritmodel. com/browseproducts/Futaba-S3102-Servo. HTML.

Google Scholar

[14] Information on http: /www. lynxmotion. com/p-395-ssc-32-servo-controller. aspx.

Google Scholar