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Volume 32 Issue 12
Jan.  2011
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Li Yuan-Jin, Zhang Wan-Cheng, Wu Nan-Jian. A Fast Traffic Lane Detection System Based on Parallel Processors and FPGA Implementation[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2901-2906. doi: 10.3724/SP.J.1146.2010.00111
Citation: Li Yuan-Jin, Zhang Wan-Cheng, Wu Nan-Jian. A Fast Traffic Lane Detection System Based on Parallel Processors and FPGA Implementation[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2901-2906. doi: 10.3724/SP.J.1146.2010.00111

A Fast Traffic Lane Detection System Based on Parallel Processors and FPGA Implementation

doi: 10.3724/SP.J.1146.2010.00111 cstr: 32379.14.SP.J.1146.2010.00111
  • Received Date: 2010-01-28
  • Rev Recd Date: 2010-05-20
  • Publish Date: 2010-12-19
  • This paper proposes a parallel fast traffic lane detection system. The system consists of a 3232 Processing Elements (PE) array and a dual RISC core subsystem. The PE array performs pixel-parallel image preprocessing and outputs edge features, the dual RISC core subsystem performs two lanes parameters detection in parallel based on edge features. In this way, every step in the detection process is in parallel and the detection rate is rapidly increased. The system is implemented with FPGA. The experiment shows that it has good robustness and can reach up to 50 fps. This meets the demand of real-time for lane departure warning system and makes an important sense for practical application.
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  • 余天洪. 基于机器视觉的车道偏离预警系统的研究[D]. [博士论文], 吉林大学, 2006.[2]Yu T. Study on vision-based lane departure warning system [D]. [Ph.D. dissertation], Jilin University, 2006.[3]王荣本, 余天洪, 郭列. 基于机器视觉的车道偏离预警系统研究综述[J].汽车工程.2005, 27(4):463-464Wang R, Yu T, and Guo L. A survey on research of vision-based lane departure warning system [J]. Automotive Engineering, 2005, 27(4): 463-464.[4]Pankiewicz P, Powiretowski W, and Roszak G.VHDL implementation of the lane detection algorithm [C]. Mixed Design of Integrated Circuits and Systems, Poland, June 19-21, 2008: 581-584.[5]Hsiao Pei-yung, Cheng Hsien-chein, and Yeh Chun-wei. Automobile lane detection system-on-chip integrated with mixed signal mode CMOS image sensor[C]. Consumer Electronics, Macau, June 14-16, 2005: 320-323.[6]Miao W, Lin Q Y, Zhang W C, and Wu N J. A programmable SIMD vision chip for real-time vision applicaions[J].IEEE Journal of Solid-State Circuit.2008, 43(6):1470-1479[7]Lin Q Y, Miao W, Zhang W C, Fu Q Y, and Wu N J. A 1000 frames/s programmable vision chip with variable resolution and row-pixel-mixed parallel image processors [J].Sensors.2009, 9(8):5933-5951[8]田炳香, 郑榜贵, 吴晴. 高速公路车道线检测与跟踪算法研究[J]. 现代电子技术, 2008, 9(31): 180-183.[9]Tian B, Zheng B, and Wu Q. Research on lane detection and tracking algorithm of highway[J]. Modern Electronic Technique, 2008, 31(9): 180-183.[10]Huang Pei-yung, Yeh Chun-wei, and Huang Shih-shinh. A portable vision-based real-time lane departure warning system based on embedded calculating technique [C]. Vehicular Technology Conference, Australia May 7-10, 2006, 6: 2982-2986.
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