Path Recognition for Agricultural Robot Vision Navigation under Weed Environment

Abstract : In this paper, a path recognition method for agricultural robot vision navigation under weed environment is proposed. The vision navigation is based on color images sampled by a high speed camera. First, the crop and weed information is extracted using an appropriate color feature model to separate the green crop from background; then the image is thresholded, and the noise caused by weed is filtered by deleting small-area objects in the image; the navigation path is extracted through Hough transformation. Experiments are carried out in corn seedling field, and results show that the method can recognize navigation path correctly under weed environment.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.242-248, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_30〉
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Peidong Wang, Zhijun Meng, Changhai Luo, Hebo Mei. Path Recognition for Agricultural Robot Vision Navigation under Weed Environment. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.242-248, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_30〉. 〈hal-01220921〉

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