{"title":"FPGA Implement of a Vision Based Lane Departure Warning System","authors":"Yu Ren Lin, Yi Feng Su","volume":56,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":864,"pagesEnd":870,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/7135","abstract":"
Using vision based solution in intelligent vehicle application often needs large memory to handle video stream and image process which increase complexity of hardware and software. In this paper, we present a FPGA implement of a vision based lane departure warning system. By taking frame of videos, the line gradient of line is estimated and the lane marks are found. By analysis the position of lane mark, departure of vehicle will be detected in time. This idea has been implemented in Xilinx Spartan6 FPGA. The lane departure warning system used 39% logic resources and no memory of the device. The average availability is 92.5%. The frame rate is more than 30 frames per second (fps).<\/p>\r\n","references":"[1] B. Yu, W. Zhang, Y. Cai \"A Lane Departure Warning System based on\r\nMachine Vision\" in IEEE Pacific-Asia Workshop on Computational\r\nIntelligence and Industrial Application, 2008, pp.197-201.\r\n[2] C.R. Jung, C.R. Kelber \"A Lane Departure Warning System Using\r\nLateral Offset with Uncalibrated Camera\" in Proc. Int. IEEE Conf. on\r\nIntelligent Transportation Systems, Sep. 13-16, 2005, pp. 348-353.\r\n[3] P. Y. Hsioa, C. W. Yeh, S. S. Huang, L. C. Fu \"A Portable Vision Based\r\nReal-Time Lane Departure Warning System : Day and Night\", IEEE\r\nTrans. Intelligent Transportation Systems, vol. 58, no. 4, pp. 2089-2094,\r\nMay 2009.\r\n[4] W. Zhu, F. Liu, Z. Li, X. Wang, S. Zhang \"A Vision Based Lane\r\nDetection and Tracking Algorithm in Automatic Drive\", in IEEE\r\nPacific-Asia Workshop on Computational Intelligence and Industrial\r\nApplication, 2008, pp.799-803..\r\n[5] N. M. Enache, S. Mammar and M. Netto, B. Lusetti \"Driver Steering\r\nAssistance for Lane-Departure Avoidance Based on Hybrid Automata\r\nand Composite Lyapunov Function\" in IEEE Trans. On Intelligent\r\nTransportation Systems, Mar. , 2010, vol1, pp.28-39.\r\n[6] M. J. Jeng, C. Y. Guo, B. C. Shiau and L. B. Chang, \"Lane Detection\r\nSystem Based on Software and Hardware Codesign,\" in Proc. 4th Int.\r\nIEEE Conf. on Autonomous Robots and Agents, Feb. 10-12, 2009, pp.\r\n319 - 323.\r\n[7] H. Y. Cheng, B. S. Jeng, P. T. Tseng, K. C. Fan, \"Lane Detection With\r\nMoving Vehicles in the Traffic Scenes,\" in IEEE Trans. on Intelligent\r\nTransportation Systems, Vol.7 Dec. 2006, pp. 571-582.\r\n[8] A. AM. Assidiq, O. O. Khalifa. Md. R. Islam, S. Khan, \"Real Time Lane\r\nDetection for Autonomous Vehicles\", in Proc. Int. IEEE Conf. on\r\nComputer and Communication Engineering, May. 13-15, 2008, pp. 82 -\r\n88.\r\n[9] J. F. Liu, Y.F. Su, M. K. Ko and P. N. Yu \"Development of a\r\nVision-Based Driver Assistance System with Lane Departure Warning\r\nand Forward Collision Warning functions\" Digital Image Computing:\r\nTechniques and Applications, 2008, pp. 480-485.\r\n[10] Sudhir Sharma, Wang Chen, \"Using Model-Based Design to Accelerate\r\nFPGA Development for Automotive Applications\", in 2009 SAEWorld\r\nCongress, January 1-15,2009.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 56, 2011"}