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V-disparity Based UGV Obstacle Detection in Rough Outdoor Terrain 被引量：7

V-disparity Based UGV Obstacle Detection in Rough Outdoor Terrain
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作者 CONG Yang PENG Jun-Jian SUN Jing ZHU Lin-Lin TANG Yan-Dong
机构地区 State Key Laboratory of Robotics Graduate University of Chinese Academy of Sciences
出处 《自动化学报》 EI CSCD 北大核心 2010年第5期667-673,共7页 Acta Automatica Sinica
基金 Supported by National Natural Science Foundation of China（60835004 60871078）
关键词 UGV 3D图像 图像处理 MGD Main ground disparity （MGD） V-disparity image obstacle detection unmanned ground vehicle （UGV） outdoor unstructured environment
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献19

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同被引文献94

  • 1HADSELL R, SERMANET P, ERKAN A N, et al. Online learning for offroad robots: using spatial label propagation to learn long-range traversability[ C ]//Proc of Robotics : Science and Systems. 2007. 被引量：1
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  • 3ODEDRA S. Using unmanned ground vehicle performance measurements as a unique method of terrain classification [ C ]//Proc of IEEE/RSJ International Conference on Intelligent Robots and Systems. 2011 : 286-291. 被引量：1
  • 4VERNAZA P, TASKAR B, LEE D D. Online, self-supervised terrain classification via discriminatively trained submodular Markov ran-dom fields[ C]//Proc of IEEE International Conference on Robotics and Automation. 2008 : 2750-2757. 被引量：1
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  • 7KHAN Y N, KOMMA P, BOHLMANN K, et al. Grid-based visual terrain classification for outdoor robots using local features [ C ]//Proc of IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems. 2011 : 16-22. 被引量：1
  • 8OJALA T, PIETIKAINEN M, MAENPAA T. Muhiresolution grayscale and rotation invariant texture classification with local binary patterns[J]. IEEE Zrans on Pattern Analysis and Machine InteUigence,2002,24(7) : 971-987. 被引量：1
  • 9TAN Xiao-yang, TRIGGS B. Enhanced local texture feature sets for face recognition under difficult lighting conditions[ J ]. IEEE Trans on Image Processing ,2010,19 (6) : 1635-1650. 被引量：1
  • 10AKHLOUFI M A, BENDADA A. Locally adaptive texture features for muhispectral face recognition [ C ]//Proc of IEEE International Conference on Systems, Man, and Cybernetics. 2010: 3308-3314. 被引量：1

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自动化学报
2010年 第5期

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