• Overview of Chinese core journals
  • Chinese Science Citation Database(CSCD)
  • Chinese Scientific and Technological Paper and Citation Database (CSTPCD)
  • China National Knowledge Infrastructure(CNKI)
  • Chinese Science Abstracts Database(CSAD)
  • JST China
  • SCOPUS
A ROBUST REAL TIME LANE DEPARTURE WARNING SYSTEM[J]. Journal of South China Normal University (Natural Science Edition), 2013, 45(4).
Citation: A ROBUST REAL TIME LANE DEPARTURE WARNING SYSTEM[J]. Journal of South China Normal University (Natural Science Edition), 2013, 45(4).

A ROBUST REAL TIME LANE DEPARTURE WARNING SYSTEM

More Information
  • Received Date: March 24, 2013
  • Revised Date: April 11, 2013
  • In this paper, a robust real time lane departure warning system for safe driving assistant is proposed. The design of hardware and software is achieved by using an ALTERA CycloneⅡFPGA with on-chip NIOS Ⅱ system on it as the process core, a robust algorithm for quick lane departure warning is applied in the design, while the IP core is customized with Avalon bus. Test result shows that the accuracy and real-time performance of the system can meet the needs of lane departure warning all day.
  • [1] Jeong S G, Kim C S, Yoon K S, et al.Real-time Lane Detection for Autonomous Navigation[C]//IEEE Proceedings of Intelligent Transportation Systems (ITSC01). Oakland,USA,2001:508–513
    [2]McCall J C,Trivedi M M.Video-based Lane Estimation and Tracking for Driver Assistance:Survey,System, and Evaluation[J].IEEE Trans on Intelligent Transportation Systems,2006,7(1):20-37
    [3] Assidiq A A,Khalifa O O,Islam M R,et al.Real Time Lane Detection for Autonomous Vehicles[C] //International Conference Computer and Communication Engineering (ICCCE).Kuala Lumpur,Malaysia,2008:82–88
    [4]Lee J W.A Machine Vision System for Lane-Departure Detection[J].Computer Vision and Image Understanding,2002,86(1):52-78
    [5]李旭, 张为公.基于视觉的车道偏离报警系统的研究[J].仪器仪表学报,2008,(7):1554-1558
    [6] Kim S Y,Oh S Y.A driver adaptive lane departure warning system based on image processing and a fuzzy evolutionary technique[C]//IEEE Intelligent Vehicles Symposium.Columbus,USA,2003:361-365
    [7] Jung C R, Kelber C R.A lane departure warning system using lateral offset with uncalibrated camera[C]//IEEE Proceedings of the International Conference on Intelligent Transportation Systems.Vienna,2005:348-353
    [8] Jeong P,Nedevschi S.Efficient and robust classification method using combined feature vector for lane detection[J].IEEE Trans on Circuits and Systems for Video Technology.2005,15(4):528-537
    [9] 陈军.基于DSP的高速公路车道偏离报警系统研究[D].天津大学,2010
    [10]Hsiao P Y,Yeh C W,Huang S S.A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night[J].IEEE Trans on Vehicular Technology,2009,58(4):2089-2094
    [11] Tseng S P,Liao Y S, Yeh C H.A DSP-based lane recognition method for the lane departure warning system of smart vehicles[C]//International Conference on Networking, Sensing and Control(ICNSC09).Okayama,Japan,2009:823–828

    [1] Jeong S G, Kim C S, Yoon K S, et al.Real-time Lane Detection for Autonomous Navigation[C]//IEEE Proceedings of Intelligent Transportation Systems (ITSC01). Oakland,USA,2001:508–513
    [2]McCall J C,Trivedi M M.Video-based Lane Estimation and Tracking for Driver Assistance:Survey,System, and Evaluation[J].IEEE Trans on Intelligent Transportation Systems,2006,7(1):20-37
    [3] Assidiq A A,Khalifa O O,Islam M R,et al.Real Time Lane Detection for Autonomous Vehicles[C] //International Conference Computer and Communication Engineering (ICCCE).Kuala Lumpur,Malaysia,2008:82–88
    [4]Lee J W.A Machine Vision System for Lane-Departure Detection[J].Computer Vision and Image Understanding,2002,86(1):52-78
    [5]李旭, 张为公.基于视觉的车道偏离报警系统的研究[J].仪器仪表学报,2008,(7):1554-1558
    [6] Kim S Y,Oh S Y.A driver adaptive lane departure warning system based on image processing and a fuzzy evolutionary technique[C]//IEEE Intelligent Vehicles Symposium.Columbus,USA,2003:361-365
    [7] Jung C R, Kelber C R.A lane departure warning system using lateral offset with uncalibrated camera[C]//IEEE Proceedings of the International Conference on Intelligent Transportation Systems.Vienna,2005:348-353
    [8] Jeong P,Nedevschi S.Efficient and robust classification method using combined feature vector for lane detection[J].IEEE Trans on Circuits and Systems for Video Technology.2005,15(4):528-537
    [9] 陈军.基于DSP的高速公路车道偏离报警系统研究[D].天津大学,2010
    [10]Hsiao P Y,Yeh C W,Huang S S.A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night[J].IEEE Trans on Vehicular Technology,2009,58(4):2089-2094
    [11] Tseng S P,Liao Y S, Yeh C H.A DSP-based lane recognition method for the lane departure warning system of smart vehicles[C]//International Conference on Networking, Sensing and Control(ICNSC09).Okayama,Japan,2009:823–828

Catalog

    Article views (1394) PDF downloads (935) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return