汪小旵,鲁伟,陈满,王挺,章永年,Boukangou M P.基于改进纯追踪模型的温室采摘运输自动跟随系统[J].农业机械学报,2016,47(12):8-13.
Wang Xiaochan,Lu Wei,Chen Man,Wang Ting,Zhang Yongnian,Boukangou M P.Automatic Following System for Greenhouse Harvesting Transportation Based on Adaptive Pure Pursuit Model[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(12):8-13.
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基于改进纯追踪模型的温室采摘运输自动跟随系统   [下载全文]
Automatic Following System for Greenhouse Harvesting Transportation Based on Adaptive Pure Pursuit Model   [Download Pdf][in English]
投稿时间:2016-05-13  
DOI:10.6041/j.issn.1000-1298.2016.12.002
中文关键词:  温室  采摘  运输  体感感应技术  路径优化  纯追踪模型
基金项目:江苏省农业科技自主创新资金项目(CX(15)1033)
作者单位
汪小旵 南京农业大学 
鲁伟 南京农业大学 
陈满 农业部南京农业机械化研究所 
王挺 南京农业大学 
章永年 南京农业大学 
Boukangou M P 南京农业大学 
中文摘要:基于Kinect体感感应技术,设计了一套温室果蔬采摘运输自动跟随平台。通过体感感应系统获取图片上像素点的深度信息,结合图像处理算法,逐行扫描确定人体图像并实时获取人体骨骼信息,计算了人体当前的三维坐标并记录人体走过的路径轨迹。系统采用自调整函数对路径进行优化,避免了剧烈转向行为,并对优化后的路径以模糊算法动态确定纯追踪模型的前视距离,从而实时调整转向和转角,实现了精准跟随和稳定跟随。试验结果表明,该跟随系统能在避免剧烈转向的前提下以较高的精度跟随,横向最大跟踪偏差不超过10.0cm,最大深度偏差为5.5cm,且系统性能不受光照条件影响,满足温室采摘运输要求。
Wang Xiaochan  Lu Wei  Chen Man  Wang Ting  Zhang Yongnian  Boukangou M P
Nanjing Agricultural University,Nanjing Agricultural University,Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture,Nanjing Agricultural University,Nanjing Agricultural University and Nanjing Agricultural University
Key Words:greenhouse  picking  transportation  technology of Kinect  path optimization  pure pursuit model
Abstract:Transportation for harvest and plant protection activities inside greenhouse calls for a lot of labor. The available transporting equipment has limited function which is not very flexible. While the widely used railway transportation vehicles inside greenhouse in many developed countries are hard to introduce to China due to variable construction styles and nonstandard layouts, some automatic following system is urgently in need. Thus a kind of autonomous transportation system for greenhouse harvesting activity was presented based on Kinect sensor developed by Microsoft Company. The Kinect sensor could acquire the depth data of each pixel on the picture, from which the skeleton of a workman could be analyzed by several image processing algorithms. Direction and heading angle was determined by the real-time coordinate of the center of gravity of the skeleton. At the same time, the 3D coordinate of the workman was kept and the tracking path was thus formed. To avoid dramatic turning, adaptive function was applied to optimize the path firstly. And then pure pursuit method was introduced to complete the tracking stably and precisely. The look-ahead distance was timely decided by fuzzy controller, with which the vehicle would track more flexibly according to different look head distances. The result showed that the system was able to turn freely and precisely while avoiding drastic turning. The largest lateral deviation of straight line tracking was smaller than 10.0cm, and the largest depth deviation was 5.5cm. The working function had nothing to do with the light condition, which met the demands of harvesting and goods transportation in greenhouse in different seasons.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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