期刊文献+

基于双目视觉的路肩高度识别

Road step height recognition based on binocular vision
下载PDF
导出
摘要 作为国民经济支柱产业之一,汽车行业地位持续提升,智能化汽车以及汽车辅助驾驶技术已成汽车产业的发展潮流和趋势。比如,驾驶过程中,在汽车遇到一定高度的台阶这类工况下,基于对底盘的保护,利用三维视觉先对路肩高度进行识别,再判断可否顺利通过而不刮碰底盘,从而避免启动对汽车造成损伤。 As one of the pillar industries of the national economy,the status of the automobile industry continues to improve,and intelligent vehicles and vehicle-assisted driving technology have become the development trend and trend of the automobile industry.For example,in the process of vehicle driving,in the event that the car needs to cross a certain height of steps,based on the protection of the chassis,3D vision is used to first identify the height of the road shoulder,and then determine whether it can pass smoothly without scratching the chassis thus avoiding damage to the car caused by the steps.
作者 高鹏 孙婧 陈憬谊 GAO Peng;SUN Jing;CHEN Jingyi(BMW Brilliance Automotive Co.,Ltd.,Shenyang 110oo0,China)
出处 《计算机应用文摘》 2023年第16期56-58,共3页 Chinese Journal of Computer Application
关键词 双目视觉 路肩识别 图像处理 binocular vision road step recognition image processing
  • 相关文献

参考文献2

二级参考文献52

  • 1王年,范益政,鲍文霞,韦穗,梁栋.基于图割的图像匹配算法[J].电子学报,2006,34(2):232-236. 被引量:27
  • 2张祖勋,数字摄影测量学,1996年,120页
  • 3Barnard S T, Fischler M A. Computational stereo [J]. ACM Computing Surveys, 1982, 14(4): 553-572.
  • 4Dhond U R, Aggarwal J K. Structure from stereo - A review [J]. IEEE Trans on Systems, Man and Cybernetics, 1989, 19(6): 1489-1510.
  • 5Faugeras O. What can be seen in three dimensions with an uncalibrated stereo rig[C]. Proc of the 2nd European Conf on Computer Vision. Santa Margherita Ligure, 1992: 563-578.
  • 6Koschan A: What is new in computational stereo since 1989: A survey of current stereo papers [R]. Berlin: Technical University of Berlin, 1993.
  • 7Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms [J]. Int J of Computer Vision, 2002, 47(1) : 7-42.
  • 8Brown M Z, Burschka D, Hager G D. Advances in computational stereo [J ]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(8):993- 1008.
  • 9Venkateswar V, Chellappa R. Hierarchical stereo and motion correspondence using feature groupings[J]. Int J of Computer Vision, 1995, 15(3) : 245-269.
  • 10Muhlmann K, Maier D, Hesser J, et al. Calculating dense disparity maps from color stereo images, an efficient implementation[J]. Int J of Computer Vision, 2002, 47(1-3): 79-88.

共引文献136

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