Precise visual navigation method for agricultural robot based on virtual navigation line

doi:10.11772/j.issn.1001-9081.2020060927

Journal of Computer Applications ›› 2021, Vol. 41 ›› Issue (1): 191-198.DOI: 10.11772/j.issn.1001-9081.2020060927

Special Issue: 第八届中国数据挖掘会议(CCDM 2020)

• China Conference on Data Mining 2020 (CCDM 2020) • Previous Articles Next Articles

Precise visual navigation method for agricultural robot based on virtual navigation line

LIANG Zhen^1,2,3, FANG Tiyu^1,2,3, LI Jinping^1,2,3

1. School of Information Science and Engineering, University of Jinan, Jinan Shandong 250022, China;
2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing(University of Jinan), Jinan Shandong 250022, China;
3. Shandong"13 th Five-Year"College and University Key Laboratory of Information Processing and Cognitive Computing(University of Jinan), Jinan Shandong 250022, China

Received:2020-05-31 Revised:2020-07-29 Online:2020-09-02 Published:2021-01-10
Supported by:
This work is partially supported by the Shandong College and University Science and Technology Program (J18KA371), the Shandong Provincial Key Research and Development Project (2017CXGC0810).

基于虚拟导航线的农业机器人精确视觉导航方法

梁臻^1,2,3, 房体育^1,2,3, 李金屏^1,2,3

1. 济南大学信息科学与工程学院, 济南 250022;
2. 山东省网络环境智能计算技术重点实验室(济南大学), 济南 250022;
3. 山东省"十三五"信息处理与认知计算高校重点实验室(济南大学), 济南 250022

通讯作者: 李金屏
作者简介:梁臻(1997-),女,山东肥城人,硕士研究生,主要研究方向:图像处理、机器人导航;房体育(1995-),男,山东济宁人,硕士研究生,主要研究方向:图像处理、机器学习;李金屏(1968-),男,河南焦作人,教授,博士,CCF高级会员,主要研究方向:计算机视觉、图像处理、机器学习、模式识别。
基金资助:
山东省高等学校科技计划项目（J18KA371）；山东省重点研发计划项目（2017CXGC0810）。

Abstract

Abstract: Aiming at the problem of navigation in the condition without artificial markers in farmland or wild environment, a precise visual navigation method for agricultural robot based on virtual navigation line was proposed. In this method, the robot can be guided to walk in a straight line without laying navigation lines or road signs. Firstly, the target area to be tracked was determined according to the requirements, and the robot was controlled to adjust the direction until the target moved to the center of vision field. Secondly, the reference target was determined according to the positions of the robot and the target, and the virtual navigation line was determined according to the positions of two targets. Thirdly, the navigation line was updated dynamically, and the offset angle and the offset distance were obtained by combining the virtual calibration line and the virtual navigation line. Finally, the fuzzy control table was constructed with the offset parameters, and the adjustment of rotation angle and walking speed of the robot was realized by the table. Experimental results show that the proposed algorithm can accurately recognize the navigation route and use the fuzzy control strategy to make the robot walk in a straight line to the target, and has the navigation accuracy within 10 cm.

Key words: agricultural robot, visual navigation, navigation line, virtual calibration line, fuzzy control

摘要： 针对农田、野外环境中无人工标记情况下的导航问题，提出了一种基于虚拟导航线的农业机器人精确视觉导航方法。该方法不需要铺设导航线或者路标即可引导机器人行走直线。首先，根据需求确定需要跟踪的目标区域，之后控制机器人调整方向直到目标移至视野中央；其次，根据机器人和目标的位置确定参照目标，并依据两个目标的位置确定虚拟导航线；然后，动态更新导航线，并结合虚拟定标线和虚拟导航线确定偏移角度和偏移距离；最后，利用偏移参数构建模糊控制表，并以此实现对机器人旋转角度和行走速度的调整。实验结果表明，该算法能较为精确地实现对导航路线的识别，进而利用模糊控制策略使机器人沿直线向目标行走，且导航精度在10 cm以内。

关键词: 农业机器人, 视觉导航, 导航线, 虚拟定标线, 模糊控制

CLC Number:

TP242.6

LIANG Zhen, FANG Tiyu, LI Jinping. Precise visual navigation method for agricultural robot based on virtual navigation line[J]. Journal of Computer Applications, 2021, 41(1): 191-198.

梁臻, 房体育, 李金屏. 基于虚拟导航线的农业机器人精确视觉导航方法[J]. 计算机应用, 2021, 41(1): 191-198.

References

[1] GAO X,LI J,FAN L,et al. Review of wheeled mobile robots' navigation problems and application prospects in agriculture[J]. IEEE Access,2018,6:49248-49268.
[2] DO Ó L,ALEXANDRE PRATES P,MENDONÇA R,et al. Autonomous 3-D aerial navigation system for precision agriculture[C]//Proceedings of the IEEE 28th International Symposium on Industrial Electronics. Piscataway:IEEE,2019:1144-1149.
[3] 李军辉, 刁维芹. 自动导航拖拉机在精准农业上的应用[J]. 农业与技术,2019,39(11):46-47. (LI J H,DIAO W Q. Application of automatic navigation tractor in precise agriculture[J]. Agriculture and Technology,2019,39(11):46-47.)
[4] REINOSO J F, GONÇALVES J E, PEREIRA C, et al. Cartography for civil engineering projects:photogrammetry supported by unmanned aerial vehicles[J]. Iranian Journal of Science and Technology,Transactions of Civil Engineering,2018, 42(1):91-96.
[5] KIM Y,HWANG K,PARK H. Construction of high-resolution digital elevation model using SAR technique for terrain referred navigation[J]. Microwave and Optical Technology Letters,2017, 59(9):2401-2405.
[6] WANG J,JIANG Z,SONG Q,et al. Forward looking InSAR based field terrain mapping for unmanned ground vehicle[C]//Proceedings of the 2016 Asia-Pacific Conference on Intelligent Robot Systems. Piscataway:IEEE,2016:168-173.
[7] CHEBROLU N,LOTTES P,LÄBE T,et al. Robot localization based on aerial images for precision agriculture tasks in crop fields[C]//Proceedings of the 2019 International Conference on Robotics and Automation. Piscataway:IEEE,2019:1787-1793.
[8] CHEEIN F A,STEINER G,PAINA G P,et al. Optimized EIFSLAM algorithm for precision agriculture mapping based on stems detection[J]. Computers and Electronics in Agriculture,2011,78(2):195-207.
[9] HIREMATH S A,VAN DER HEIJDEN G W A M,VAN EVERT F K,et al. Laser range finder model for autonomous navigation of a robot in a maize field using a particle filter[J]. Computers and Electronics in Agriculture,2014,100:41-50.
[10] WANG P, MENG Z, LUO C, et al. Path recognition for agricultural robot vision navigation under weed environment[C]//Proceedings of the 2013 International Conference on Computer and Computing Technologies in Agriculture,IFIPAICT 419. Berlin:Springer,2013:242-248.
[11] ENGLISH A,ROSS P,BALL D,et al. Vision based guidance for robot navigation in agriculture[C]//Proceedings of the 2014 IEEE International Conference on Robotics and Automation. Piscataway:IEEE,2014:1693-1698.
[12] ZHANG Q,CHEN M E S,LI B. A visual navigation algorithm for paddy field weeding robot based on image understanding[J]. Computers and Electronics in Agriculture,2017,143:66-78.
[13] ARIF A,BUTT K M. Computer vision based navigation module for sustainable broad-acre agriculture robots[J]. Science International,2014,26(5):2038-2088.
[14] 刘琼. 乡村道路环境下农业机器人导航避障算法研究[D]. 杨凌:西北农林科技大学,2017:12-56.(LIU Q. Navigation obstacle avoidance of agricultural robot on country roads[D]. Yangling:Northwest Agriculture and Forestry University,2017:12-56.)
[15] LI D,XU S,ZHENG Y,et al. Navigation path detection for cotton field operator robot based on horizontal spline segmentation[J]. International Journal of Information Technology and Web Engineering,2017,12(3):28-41.
[16] KLASER R L,OSÓRIO F S,WOLF D. Vision-based autonomous navigation with a probabilistic occupancy map on unstructured scenarios[C]//Proceedings of the 2014 Joint Conference on Robotics:SBR-LARS Robotics Symposium and Robocontrol. Piscataway:IEEE,2014:146-150.
[17] 包加桐, 宋爱国, 唐鸿儒, 等. 基于视觉目标跟踪的侦察机器人导航方法[J]. 东南大学学报(自然科学版),2012,42(3):399-405. (BAO J T,SONG A G,TANG H R,et al. Navigation method for reconnaissance robot based on visual target tracking[J]. Journal of Southeast University(Natural Science Edition), 2012,42(3):399-405.)
[18] TAN Q,WEI Q,MA R,et al. Study on visual navigation system for intelligent robot in the unstructured environment[C]//Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics. Piscataway:IEEE,2017:1618-1623.
[19] 李金屏, 修择, 吕玉彬, 等. 基于虚拟定标线的巡检机器人视觉导航[J]. 中国体视学与图像分析,2011,16(1):50-56.(LI J P,XIU Z,LYU Y B,et al. A patrol robot visual navigation method based on virtual calibration line[J]. Chinese Journal of Stereology and Image Analysis,2011,16(1):50-56.)
[20] 赵鹏鹏. 巡检机器人的视觉导航及语音信息服务[D]. 济南:济南大学,2018:1-62.(ZHAO P P. Vision-based navigation and voice information services by using patrol robot[D]. Jinan:University of Jinan,2018:1-62.)

Precise visual navigation method for agricultural robot based on virtual navigation line

基于虚拟导航线的农业机器人精确视觉导航方法

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