Browse > Article
http://dx.doi.org/10.5302/J.ICROS.2003.9.7.498

An Onboard Image Processing System for Road Images  

이운근 (부산경상대학 디지털애니메이션과)
이준웅 (전남대학교 산업공학과)
조석빈 (부산대학교 전자공학과)
고덕화 (부산대학교 전자공학과)
백광렬 (부산대학교 전자공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.9, no.7, 2003 , pp. 498-506 More about this Journal
Abstract
A computer vision system applied to an intelligent safety vehicle has been required to be worked on a small sized real time special purposed hardware not on a general purposed computer. In addition, the system should have a high reliability even under the adverse road traffic environment. This paper presents a design and an implementation of an onboard hardware system taking into account for high speed image processing to analyze a road traffic scene. The system is mainly composed of two parts: an early processing module of FPGA and a postprocessing module of DSP. The early processing module is designed to extract several image primitives such as the intensity of a gray level image and edge attributes in a real-time Especially, the module is optimized for the Sobel edge operation. The postprocessing module of DSP utilizes the image features from the early processing module for making image understanding or image analysis of a road traffic scene. The performance of the proposed system is evaluated by an experiment of a lane-related information extraction. The experiment shows the successful results of image processing speed of twenty-five frames of 320$\times$240 pixels per second.
Keywords
onboard image processing system; real-time implementation; Sobel edge operator; image pre-processing; FPGA; DSP;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 J. W. Lee and I. S. Kweon, 'Extraction of line features in a noisy image,' Pattern Recognition, vol. 30, no. 10, pp. 1651-1660, 1997   DOI   ScienceOn
2 이운근, 이준웅, 백광렬, 보고 알 수 있는 노이즈의 시험법과 대책, 대영사, 2001
3 Texas Instruments, TMS320C6701 floating-point digital signal processor, Texas Instruments Ltd., 1998
4 J. W. Lee, U. K. Yi, and K. R. Baek, 'A cumulative distribution function of edge direction for road-lane detection,' IEICE Trans. Information and Systems, vol. E84-D, no. 9, pp. 1206-1216, 2001
5 Xilinx, The programmable logic data book 2000, Xilinx Inc., 2000.E. Beuville, K. Borer, E.Chesi, E.H.M.
6 H. Johnson and M. Graham, High-speed digital design, Prentice Hall, 1993
7 S. Ozawa 'Image processing for intelligent transport systems,' IEICE Trans. Information and Systems, vol. E82-D, no. 3, 629-636, 1999
8 M. Bertozzi and A. Broggi, 'Real time lane and obstacle detection on the GOLD system,' Proc. IEEE Intelligent Vehicles '96, pp. 213-218, 1996   DOI
9 K. Hanawa and Y. Sogawa, 'Development of stereo image recognition system for ADA,' IVS2001, pp. 177-182, 2001
10 S. M. Smith and J. M. Brady, 'ASSET-2: real time motion segmentation and shape tracking,' IEEE Trans. on PAMI, vol. 17, no. 8, pp. 814-820, 1995   DOI   ScienceOn
11 D. J. Smith, HDL chip design, Doone Publications, Madison, AL, USA, 1996
12 C. W. Shin and K. I. Kim, 'Design of real-time image processing board with multi-resolution processing method for ALV,' ITS, pp. 1-8, 2000
13 강현인, 주용완, 백광렬, 'Contact Image Sensor를 위한 고속 영상 처리 보드 구현,' 제어. 자동화. 시스템공학논문지, 제 5 권, 제 6 호, pp. 691-697, 1999   과학기술학회마을