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相关概念视频

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

73
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Introduction to Global Positioning System01:30

Introduction to Global Positioning System

101
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,...
101
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

72
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...
72
Errors in Global Positioning System01:26

Errors in Global Positioning System

75
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
75
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

122
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Types of Global Positioning System Surveys01:30

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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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雷达/INS集成和地图匹配用于城市环境中的陆地车辆导航.

Mohamed Elkholy1,2, Mohamed Elsheikh1,3, Naser El-Sheimy1

  • 1Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的雷达和惯性导航系统 (INS) 集成与地图匹配,以增强全球导航卫星系统 (GNSS) 信号差的地区的自动驾驶车辆导航.

关键词:
在FMCW雷达.在GNSS中断的情况下,GNSS中断.具有挑战性的GNSS环境地图匹配对应的地图匹配雷达测距仪使用雷达测距仪.雷达/INS的整合方式城市航行城市航行车辆导航 车辆导航

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科学领域:

  • 机器人技术和自主系统
  • 导航和定位 导航和定位
  • 传感器融合式传感器

背景情况:

  • 全球导航卫星系统 (GNSS) 接收器对于自主导航至关重要,但在城市环境中会受到信号退化.
  • 信号阻塞和多路径效应等挑战需要互补的传感器技术.
  • 惯性导航系统 (INS) 和雷达是可靠定位的关键替代方案.

研究的目的:

  • 开发和评估一种新的算法,用于在全球导航卫星系统 (GNSS) 挑战的环境中提高陆地车辆导航准确度.
  • 整合来自多个雷达单元和惯性导航系统 (INS) 的数据,以提高定位.
  • 为了利用地图匹配与OpenStreetMap (OSM) 数据进行实时位置校正.

主要方法:

  • 利用四个雷达单元进行前进速度和位置估计.
  • 使用扩展卡尔曼波器 (EKF) 与INS合并的雷达数据.
  • 应用地图与OpenStreetMap (OSM) 匹配,以完善集成导航解决方案.

主要成果:

  • 拟议的雷达/INS集成与地图匹配显示了导航精度的显著改进.
  • 算法实现了水平位置根平均平方 (RMS) 误差不到行驶距离的1%.
  • 在模拟的全球导航卫星系统 (GNSS) 中断期间验证了有效性能.

结论:

  • 开发的算法有效地弥补了全球导航卫星系统 (GNSS) 在具有挑战性的城市地区的信号损失.
  • 雷达/INS集成与地图匹配相结合,为连续和准确的自动驾驶汽车导航提供了强大的解决方案.
  • 该方法显示了对需要可靠定位的现实应用的巨大潜力.