【摘 要】
：
For the reasons of the complex working environment, plenty of obstacles in facility agriculture, this paper studies the problem of identifying the obstacles
【机 构】
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College of Engineering, South China Agricultural University, Guangzhou, 510642, China
【出 处】
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The Sixth Asian Conference on Precision Agriculture (第六届亚洲精准
论文部分内容阅读
For the reasons of the complex working environment, plenty of obstacles in facility agriculture, this paper studies the problem of identifying the obstacles by binocular vision in facility agriculture.Binocular vision system was built up at first.OpenCV and Matlab were used for the binocular camera calibration respectively.Secondly, Bouguet algorithm was used to rectified the input images and analysed three kinds of matching algorithms.Then the smallest enclosing moment of the object could be extracted.At last, the distance of the objects were calculated and 3D reconstruction was used.The experimental results show that the binocular vision system can provide high reliability, high real time, strong anti-interference ability and lower cost which can identify different obstacles with a wide application rage.It can satisfy the operational requirements of the unmanned control vehicle's automatic obstacle avoidance in facility agriculture,and it will lay the foundation for vehicle obstacle avoidance and navigation.
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