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毕业论文网 > 任务书 > 计算机类 > 计算机科学与技术 > 正文

车载视频处理与分析--车道线探测任务书

 2020-06-25 20:50:20  

1. 毕业设计(论文)的内容和要求

1.课题简介: 基于安全和辅助驾驶的需要,行车记录仪已经成为家用车的标配。

随着摄像头收集的信息越来越多,自动分析和理解这些记录内容,如避障,车道线检测,识别交通路牌等,对于辅助和安全驾驶是非常有意义的。

基于行车记录仪设计一个驾驶辅助系统,既可以对视频文件做事后分析也可以实时逐帧分析,提供驾驶员行为和行车条件有价值的信息,其中车道线检测的子课题意义就是实时判别是否行车在安全的行车区域内。

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2. 参考文献

[1] Anik Saha, Dipanjan Das Roy, Tauhidul Alam Kaushik Deb, Automated Road Lane Detection for Intelligent Vehicles. Global Journal of Computer Science and Technology,2012,12(6):1-5. [2]Krzysztof Slot,Michal Strzelecki,Agnieszka Krawczynska,Maciej Polanczyk, Road Lane Detection with Elimination of High-Curvature Edges. ICCVG2008,2009,33-42. [3] Aharon Bar Hillel,Ronen Lerner,Dan Levi,Guy Raz, Recent progress in road and lane detection: a survey. Machine Vision and Applications,2014,25:727-745. [4] Yue Wang,Dinggang Shen,Eam Khwang Teoh, Lane detection using spline model. Pattern Recognition Letters, 2000,21:677-689. [5] Othman O Khalifa,Md.Rafiqul Islam,Abdulhakam.AM.Assidi,Aisha-Hassan Abdullah and Sheroz Khan, Vision Based Road Lane Detection System for Vehicles Guidance. Australian Journal of Basic and Applied Sciences, 2011,5(5): 728-738. [6] Jong Woung Park,Joon Woong Lee,Kyung Young Jhang, A lane-curve detection based on an LCF. Pattern Recognition Letters,2003, 24:2301#8211;2313 [7] Amol Borkar,Monson Hayes,Mark T.Smith, A Novel Lane Detection System With Ef#64257;cien Ground Truth Generation. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2012,13(1):365-374. [8] Aharon Bar Hillel, Ronen Lerner, Dan Levi, Guy Raz, Recent progress in road and lane detection: a survey. Machine Vision and Applications, April,2014. DOI10.1007/s00138-011-0404-2. [9] Avishek Parajuli,Mehmet Celenk,H.Bryan Riley, Robust Lane Detection in Shadows and Low Illumination Conditions using Local Gradient Features. Open Journal of Applied Sciences, 2013, 3:68-74. [10]Sayanan Sivaraman,Mohan Manubhai Trivedi, Integrated Lane and Vehicle Detection,Localization,and Tracking:A Synergistic Approach. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 14(2): 906-917. [11] Nasim Arshad, Kwang-Seok Moon, Seung-Seob Park, Jong-Nam Kim, Lane Detection with Moving Vehicles Using Color Information.Proceedings of the World Congress on Engineering and Computer Science, 2011,Vol 1.ISBN:978-988-18210-9-6.

3. 毕业设计(论文)进程安排

2017-12-20~ 2018-02-20选题,查阅文献资料。

2018-02-21~2018-02-28准备开题报告,正式开题, 完成英文文献的翻译工作。

2018-03-01~2018-04-05完成车道线检测方案设计,给出完整的车道线检测,避障检测流程,子系统架构设计。

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