Real-time lane departure warning system based on a single FPGA

被引:35
作者
An, Xiangjing [1 ]
Shang, Erke [1 ]
Song, Jinze [1 ]
Li, Jian [1 ]
He, Hangen [1 ]
机构
[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Field Programmable Gate Array; Single Instruction Multiple Data; Controller Area Network; Line Detection; Lane Marking;
D O I
10.1186/1687-5281-2013-38
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a camera-based lane departure warning system implemented on a field programmable gate array (FPGA) device. The system is used as a driver assistance system, which effectively prevents accidents given that it is endowed with the advantages of FPGA technology, including high performance for digital image processing applications, compactness, and low cost. The main contributions of this work are threefold. (1) An improved vanishing point-based steerable filter is introduced and implemented on an FPGA device. Using the vanishing point to guide the orientation at each pixel, this algorithm works well in complex environments. (2) An improved vanishing point-based parallel Hough transform is proposed. Unlike the traditional Hough transform, our improved version moves the coordinate origin to the estimated vanishing point to reduce storage requirements and enhance detection capability. (3) A prototype based on the FPGA is developed. With improvements in the vanishing point-based steerable filter and vanishing point-based parallel Hough transform, the prototype can be used in complex weather and lighting conditions. Experiments conducted on an evaluation platform and on actual roads illustrate the effective performance of the proposed system.
引用
收藏
页数:18
相关论文
共 32 条
  • [1] [Anonymous], 2016, INTELLIGENT TRANSPOR
  • [2] Anvari R, 2010, THESIS U W AUSTR
  • [3] Robust vision based lane tracking using multiple cues and particle filtering
    Apostoloff, N
    Zelinsky, A
    [J]. IEEE IV2003: INTELLIGENT VEHICLES SYMPOSIUM, PROCEEDINGS, 2003, : 558 - 563
  • [4] Bari Farooq, 2007, 2007 Wireless Telecommunications Symposium (WTS '07), P1, DOI 10.1109/WTS.2007.4563334
  • [5] Bing Yu, 2008, 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008, P197, DOI 10.1109/PACIIA.2008.142
  • [6] Chen Q, 2006, 2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM, P511
  • [7] Chern MY, 2005, 11th International Conference on Parallel and Distributed Systems Workshops, Vol II, Proceedings,, P42
  • [8] USING CANNY CRITERIA TO DERIVE A RECURSIVELY IMPLEMENTED OPTIMAL EDGE DETECTOR
    DERICHE, R
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1987, 1 (02) : 167 - 187
  • [9] Dongkyun Kim, 2008, 2008 6th IEEE International Conference on Industrial Informatics (INDIN), P655, DOI 10.1109/INDIN.2008.4618183
  • [10] Old and new straight-line detectors: Description and comparison
    El Mejdani, S.
    Egli, R.
    Dubeau, F.
    [J]. PATTERN RECOGNITION, 2008, 41 (06) : 1845 - 1866