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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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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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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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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

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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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Errors in Global Positioning System01:26

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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,...
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Introduction to Global Positioning System01:30

Introduction to Global Positioning System

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

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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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Map-Matching-Based Localization Using Camera and Low-Cost GPS for Lane-Level Accuracy.

Rahmad Sadli1, Mohamed Afkir2, Abdenour Hadid1

  • 1Institut d'Électronique de Microélectronique et de Nanotechnologie (IEMN), UMR 8520, Université Polytechnique Hauts de France, University of Lille, CNRS, Centrale Lille, F-59313 Valenciennes, France.

Sensors (Basel, Switzerland)
|April 12, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a low-cost, vision-based system with GPS for precise lane-level localization in autonomous vehicles (AVs). The method achieves high accuracy, outperforming GPS-only solutions for safe AV navigation.

Keywords:
GNSSGPSautonomous drivinglane detectionlane-level localizationmap-matching

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Area of Science:

  • Robotics and Computer Vision
  • Autonomous Vehicle Navigation Systems

Background:

  • Accurate lane-level localization is critical for autonomous vehicles (AVs) to perform complex maneuvers.
  • Traditional Global Navigation Satellite System (GNSS) methods lack the required precision for lane-level positioning.
  • LiDAR-based localization offers high accuracy but remains prohibitively expensive for widespread adoption.

Purpose of the Study:

  • To develop a cost-effective solution for achieving high-precision lane-level localization for AVs.
  • To overcome the limitations of existing localization methods by integrating vision and low-cost GPS.

Main Methods:

  • A novel vision-based system is proposed, utilizing a low-cost GPS receiver.
  • The system is designed to achieve lane-level localization accuracy without expensive sensors like LiDAR.

Main Results:

  • The proposed vision-based and GPS system demonstrates strong lane-level localization accuracy in real-world, real-time experiments.
  • Performance analysis shows the method surpasses the accuracy of GPS-only localization systems.

Conclusions:

  • The developed low-cost system offers a viable alternative for achieving lane-level localization in AVs.
  • This approach enhances the feasibility of widespread autonomous vehicle deployment by reducing sensor costs.