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Field Application of Global Positioning System01:28

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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
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农业机械自动导航技术 自动导航技术

Zhixin Yao1,2, Chunjiang Zhao1,3, Taihong Zhang1,2

  • 1College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China.

iScience
|January 31, 2024
PubMed
概括
此摘要是机器生成的。

本综述将农业机械自动驾驶技术进行比较,重点关注导航和路径规划. 将全球导航卫星系统 (GNSS) 与机器视觉相结合,为避免障碍物和生成最佳路径提供了有前途的解决方案.

关键词:
农业工程 农业工程农业科学 农业科学应用科学 应用科学工程 工程师 工程师 工程师

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科学领域:

  • 农业工程 农业工程
  • 机器人技术 机器人技术 机器人技术
  • 计算机科学 计算机科学

背景情况:

  • 在农业中,自动驾驶对于效率和精度至关重要.
  • 关键组件包括导航,路径规划,控制和通信系统.

研究的目的:

  • 审查,比较和分析有关农业机械自动导航和路径规划的现有研究.
  • 确定当前的挑战,并提出未来的研究方向.

主要方法:

  • 自动导航技术的分类:全球导航卫星系统 (GNSS),机器视觉和激光雷达.
  • 路径规划算法的分析:图表搜索,采样,优化和基于学习的方法.
  • 评估各种方法的优点,缺点和技术困难.

主要成果:

  • 与机器视觉相结合的GNSS被认为是避免障碍物和优化路径规划的高效方法.
  • 为不同的应用场景提出了22个算法.
  • 目前的研究在导航和路径规划方面面临着尚未解决的挑战.

结论:

  • 集成GNSS和机器视觉增强了农业机械的自主性.
  • 需要进一步的研究来解决现有的技术困难和局限性.