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Machine vision obstacle detection method in #br# unstructured farmland environment
Zhijun Meng, Bingxin Yan, Yanxin Yin, Qiao Wang, Hui Liu, Lin Ling
Journal of Intelligent Agricultural Mechanization 2021, 2 (2): 1-6. DOI:
10.12398/j.issn.2096-7217.2021.02.001
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Accurate perception and understanding of unstructured farmland environment is the technical key in agricultural production automation to autonomy. Aiming at the obstacle perception and detection technology of farmland operation robots, three basic principles of obstacle avoidance path planning are proposed in this paper. This paper analyzes and expounds on the advantages and disadvantages of field obstacle detection based on vision under the background of unstructured, complex farmland and summarizes the main methods of obstacle detection based on monocular vision and binocular vision and the limitations of each method. This paper discusses the implementation, advantages, disadvantages, and limitations of field obstacle detection technology based on machine vision and points out that visionbased multisensor fusion is the development direction of environmental perception, cognition, and autonomous operation of farmland operation robots.
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