期刊文献+

基于AI深度学习的车辆识别智能管理系统 被引量:1

Vehicle Recognition Intelligent Management System Based on AI Deep Learning
下载PDF
导出
摘要 基于AI深度学习的车辆识别智能管理系统通过采集实时交通流数据,利用AI深度学习模型进行分析研判,识别交通流量及交通事故等情况,为交通运营管理的智能化、高效化提供辅助支撑。 The intelligent management system of vehicle identification based on AI deep learning can provide auxiliary support for the intelligent and efficient traffic operation management by collecting real-time traffic flow data,analyzing and judging the traffic flow and traffic accidents using AI deep learning model.
作者 周华英 Zhou Huaying(Yantai Automobile Engineering Professional College,Shandong Yantai,265500)
出处 《电子测试》 2022年第24期76-78,共3页 Electronic Test
基金 烟台汽车工程职业学院科技类课题立项项目“基于AI深度学习的车辆识别智能管理系统(2018YTQK06)”的研究成果
关键词 深度学习 智能交通 车辆识别 Deep learning Intelligent transportation Vehicle recognition
  • 相关文献

参考文献5

二级参考文献35

  • 1李云翀,何克忠,贾培发.基于阴影特征和Adaboost的前向车辆检测系统[J].清华大学学报(自然科学版),2007,47(10):1713-1716. 被引量:19
  • 2Teoh S S, Braunl T. Symmetry-based monocular vehicle detection syste,n [ J 1. Machiru, Vi.:inn and Applications, 2012, 23(5): 831 -842.
  • 3Sivaraman S, Trivedi M M. Integrated lane and vehicle detection, localization, and tracking: a synergistic ap- proach [ J 1- IEEE Transactions on Intelligent Tran.:porta- tion Sy.:ten',s, 2013, 14(2) : 906 -917.
  • 4Wang H, Cai Y F, Chert L. A vehicle detection algo- rithm based on deep belief network[ J]. The Scientific World Journal, 2014, doi: 10.1155/2014/647380.
  • 5Wang Hai, Cai Yingfeng. A muhistep framework for vi-sion based vehicle detection [ J 1. Journal of Applied Mathematics, 2014, doi: 10. 1155/2014/876451.
  • 6Kim Giseok, Cho Jae-Soo. Vision-based vehicle detec- tion and inter-vehicle distance estimation [ C ]//Procee- dings of 2012 12th International Conference on Control, Automation and System:. Jeju Island, Korea: IEEE Computer Society, 2012:625 - 629.
  • 7Khuwuthyakorn P, Robles-Kelly A, Zhou J. Object of" interest detection by saliency learning [ C ]//Proceedings of the 1 l th European Colererwe on Computer Vision. Herakhon, Crete, Greece: Springer Verlag, 2010: 636 - 649.
  • 8Shi Liang, Wang Jinqiao, Xu Lei, et al. Context sa- liency based image summarization [C] //Proceedings of the 2009 IEEE International Conferetwe on Multimedia and Expo. New York: IEEE Computer Society, 2009: 270 - 273.
  • 9Donoser M, Urschler M, Hirzer M, et al. Saliency dri- ven total variation segmentation [ C ] //Proceedings of 2009 IEEE 12th International Conference on Computer VL:ion. Kyoto, Japan: IEEE, 2009:817-824.
  • 10Vikram T N, Tscherepanow M, Wrede B. A saliency map based on sampling an image into random rectangular regions of interest [ J ]. Pattern Recognition, 2012, 45 (9) : 3114 -3124.

共引文献85

同被引文献18

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部