Modeling of working environment and coverage path planning method of combine harvesters

被引:10
作者
Lu, En [1 ,2 ]
Xu, Lizhang [1 ]
Li, Yaoming [1 ]
Tang, Zhong [1 ]
Ma, Zheng [1 ]
机构
[1] Jiangsu Univ, Sch Agr Equipment Engn, Zhenjiang 212013, Jiangsu, Peoples R China
[2] World Precise Machinery China Co Ltd, World Ind Pk, Danyang 212311, Peoples R China
基金
中国博士后科学基金;
关键词
combine harvester; environmental modeling; path planning; farmland turning; NAVIGATION; FIELD;
D O I
10.25165/j.ijabe.20201302.5210
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
This paper mainly studied the working environment modeling and coverage path planning of combine harvesters. The boundaries of the farmland to be harvested were extracted through the farmland satellite imagery and canny algorithm. The polygon approximation method was used to fit the extracted boundaries as polygons. The edge offset of the farmland and obstacles was realized based on the principle of straight skeleton. According to the structure data of the split points which were obtained through the improved scan line algorithm, the coverage path planning of the combine harvester was realized. Moreover, the circular arc transition algorithm was used to optimize the harvesting paths to achieve the smooth turning of the combine harvester at the edge of farmland and when encountering obstacles. The simulation results show that the proposed the proposed polygon approximation method can accurately depict the boundaries of the farmland to be harvested, and reduce the amount of data to be stored. Additionally, the designed path planning method can realize the coverage path planning of the combine harvester in irregular and internal obstacle farmland.
引用
收藏
页码:132 / 137
页数:6
相关论文
共 21 条
  • [1] A Novel Edge Detection Algorithm for Mobile Robot Path Planning
    Al-Jarrah, Rami
    Al-Jarrah, Mohammad
    Roth, Hubert
    [J]. JOURNAL OF ROBOTICS, 2018, 2018
  • [2] [Anonymous], 2012, Digital Image Processing
  • [3] Persistent Homology for Path Planning in Uncertain Environments
    Bhattacharya, Subhrajit
    Ghrist, Robert
    Kumar, Vijay
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2015, 31 (03) : 578 - 590
  • [4] Dong W., 2016, CHINESE SCI TECHNOLO, V11, P2525, DOI 10.3969/j.issn.2095-2783.2016.22.002
  • [5] In-field and inter-field path planning for agricultural transport units
    Jensen, Martin Andreas Falk
    Bochtis, Dionysis
    Sorensen, Claus Gron
    Blas, Morten Rufus
    Lykkegaard, Kasper Lundberg
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2012, 63 (04) : 1054 - 1061
  • [6] Korkmaz S A, 2017, INT C IM SIGN PROC B
  • [7] [刘刚 Liu Gang], 2018, [农业机械学报, Transactions of the Chinese Society for Agricultural Machinery], V49, P27
  • [8] Positioning technology of mobile vehicle using self-repairing heterogeneous sensor networks
    Luo, Chengming
    Li, Wei
    Fan, Xinnan
    Yang, Hai
    Ni, Jianjun
    Zhang, Xuewu
    Xin, Gaifang
    Shi, Pengfei
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 93 : 110 - 122
  • [9] Luo Heng, 2011, Journal of Computer Aided Design & Computer Graphics, V23, P1908
  • [10] Coverage Path Planning Algorithms for Agricultural Field Machines
    Oksanen, Timo
    Visala, Arto
    [J]. JOURNAL OF FIELD ROBOTICS, 2009, 26 (08) : 651 - 668