This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Development of a Lane Mark Recognition System for a Lane Keeping Assist System
Technical Paper
2003-01-0281
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
A lane mark recognition system that processes images taken by a camera for a Lane Keeping Assist System (LKAS) has been developed. This system uses a new algorithm that is a combination or Hough transformation and the process of extracting positive and negative edges which are features of lane marks. By employing this algorithm, we can remove noise and execute high speed image processing with a special chip. As a result, we can process images in real time even in such complex situation as a parting road or double broken line conditions. In experiments on real images, we were able to verify a high rate of recognition and accuracy of output data sufficient for steering control.
Recommended Content
Authors
Citation
Mineta, K., Unoura, K., and Ikeda, T., "Development of a Lane Mark Recognition System for a Lane Keeping Assist System," SAE Technical Paper 2003-01-0281, 2003, https://doi.org/10.4271/2003-01-0281.Also In
SAE 2003 Transactions Journal of Passenger Cars - Electronic and Electrical Systems
Number: V112-7; Published: 2004-09-15
Number: V112-7; Published: 2004-09-15
References
- Fujita Yasuhiko Kikuchi Hayato Ogino Shigenori Ohsaki Seiji Development of Intelligent Highway Cruise Control Proc. of. JSAE No.114-99 13 16 1999
- Duda, R. et.al Use of the Hough transformation to detect lines and curves in pictures Communication of ACM 15 11 15 1972
- Ballard, D. Brown, C. Computer Vision Nihon Computer Kyoukai Tokyo 147 160
- Suzuki. A. et.al. Lane Recognition System for Guiding of Autonomous Vehicle IEEE Intelligent Vehicle '92 196 201 1992
- Hashimoto, K. et.al. An Image Processing Architecture and a Motion Control Method for an Autonomous Vehicle IEEE Intelligent Vehicle 92 213 218 1992