This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Road Signposts Recognition System
Annotation ability available
Sector:
Language:
English
Abstract
During motor vehicle operation, the image processing and pattern recognition of various external visual information to assist human vision is an effective method to improve safety and driving comfort. Research into image processing and pattern recognition, supported by advancing device and computer technology, is entering the age of practical application.
Against this background, we have developed a system to visually detect, recognize and transmit to the vehicle operator road signs, which are definable patterns, as the first step in the application of image processing and pattern recognition technology to the automotive sector.
The major points of this system are as follow:
- 1. A color processing system was adopted which reduces the effects of brightness and shadow, and implemented in dedicated hardware.
- 2. The development of dedicated hardware for template matching enables the real-time extraction and processing of defined patterns within the image.
Recommended Content
Ground Vehicle Standard | Comparison of GATS Messages to SAE ATIS Standards |
Technical Paper | Management of Light in Thick Optical Waveguides for Dashboard Illumination: An Application of Radiometric Principles |
Technical Paper | Hood Slam Process Automator |
Citation
Akatsuka, H. and Imai, S., "Road Signposts Recognition System," SAE Technical Paper 870239, 1987, https://doi.org/10.4271/870239.Also In
References
- “Road sign foundational standard and its explanation” Japan Road Association 1978
- “Road structural law and its application” Japan Road Association 1983
- Ozaki H. Taniguchi K. Ogawa H. “Image Processing” Kyoritsu-shuppan Co., Ltd. 1985
- Hall E.L. “Computer Image Processing and Recognition” Academic Press
- Haralick R.M. “Statical and Structural Approached to Texture” Proc. IEEE 67 5 786 804 May 1979
- Galloway M.M “Texture Analysis Using Gray level Run Lengths” Computer Graphics and Image Processing 4 172 179 1975