Construction and in-field experiment of low-cost binocular vision platform for pineapple harvesting robot

被引：0
作者：
机构：
[1] National Engineering Research Center of Intelligent Equipment for Agriculture
[2] Chinese Academy of Modern Agricultural Mechanization Sciences
来源：
Huang, W. (huangwq@nercita.org.cn) | 2012年 / Chinese Society of Agricultural Engineering卷 / 28期
关键词：
Binocular vision; Calibration; Computer vision; Experiment; Low-cost; Pineapple harvesting;
D O I：
10.3969/j.issn.1002-6819.2012.z2.032
中图分类号：
学科分类号：
摘要：
Vision system is one of key parts of agricultural harvesting robots, which provides the fruit's position information for navigating the manipulator. Considering its applications in agriculture and the pineapple is big enough for recognition, this study presents a low-cost binocular vision platform for pineapple harvesting robots, which consists of low-cost CMOS (Complementary Metal Oxide Semiconductor) image sensors, a tripod, a binocular pan, a PC and software system; The calibration model and the calibration software were developed based on C++ and OpenCV version 1.1, and Matlab calibration toolbox separately; The Zhang's algorithm was employed during the calibration. By experiment, the suitable calibration method for the constructed platform was selected. Based on the low-cost vision platform and developed pineapple recognition algorithms, 3D position calculation experiments for pineapples were conducted in a pineapple field of Zhanjiang. The results showed that the depth errors were less than 6-8 cm when the depth distance was around 1 m, and the errors were less than 2-3 cm after correcting the whole system. The low-cost platform performed well and its feasibility was proved. This study can provide a reference for the development of pineapple harvesting robots.
引用
收藏
页码：188 / 192
页数：4
相关论文
共 15 条
  • [1] Zhang G.J., Computer Vision, (2005)
  • [2] Kondo N.S., Ting K.C., Robotics for plant production, Artificial Intelligence Review, 12, pp. 227-243, (1998)
  • [3] Jiang Y.H., Peng Y.S., Shen C., Recognizing and locating ripe tomatoes based on binocular stereovision technology, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 24, 8, pp. 279-283, (2008)
  • [4] Tang X.Y., Zhang T.Z., Robotics for fruit and vegetable harvesting: A review, Robot, 27, 1, pp. 91-96, (2005)
  • [5] Xie Z.Y., Zhang T.Z., A new method of segmentation of strawberry image, Journal of China Agricultural University, 11, 1, pp. 84-86, (2006)
  • [6] Zhang T.Z., Chen L.B., Song J.Z., Research of strawberry harvesting robot: II. The determination of strawberry central of gravity and picking position based on image, Journal of China Agricultural University, 10, 1, pp. 48-51, (2005)
  • [7] Song J., Sun X.Y., Zhang T.Z., Design and experiment of opening picking robot for eggplant, Transactions of the Chinese Society of Agricultural Machinery, 40, 1, pp. 143-147, (2009)
  • [8] Zhang T.Z., Lin B.L., Gao R., Object extraction for the vision system of fruit picking robot, Journal of China Agricultural University, 9, 2, pp. 68-72, (2004)
  • [9] (2007)
  • [10] Bradski G.R., Kaehler A., Learning OpenCV, (2007)
12