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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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Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

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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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Errors in Global Positioning System01:26

Errors in Global Positioning System

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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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Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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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

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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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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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Related Experiment Video

Updated: May 10, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

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Improving Sensor Adaptability and Functionality in Cartographer Simultaneous Localization and Mapping.

Wonseok Jeong1, Chanho Lee2, Namyeong Lee2

  • 1Department of Computer Engineering, Changwon National University, Changwon 51140, Republic of Korea.

Sensors (Basel, Switzerland)
|April 28, 2025
PubMed
Summary
This summary is machine-generated.

This study enhances simultaneous localization and mapping (SLAM) systems by introducing a new framework for Google Cartographer. The framework improves adaptability and functionality across diverse robotic applications with minimal computational overhead.

Keywords:
CartographerRobot Operating Systemmulti-nodereal timesimultaneous localization and mapping

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Area of Science:

  • Robotics
  • Computer Vision
  • Sensor Fusion

Background:

  • Simultaneous Localization and Mapping (SLAM) systems face challenges in adaptability across diverse robotic applications.
  • The open-source Google Cartographer project, a graph-based SLAM implementation, requires enhancements for broader functionality.

Purpose of the Study:

  • To develop a novel SLAM framework to address sensor-related challenges and improve the adaptability of Google Cartographer.
  • To integrate advanced functionalities enhancing SLAM system utility in varied robotic scenarios.

Main Methods:

  • Developed a novel SLAM framework integrating five functionalities into Google Cartographer and Robot Operating System (ROS).
  • Implemented an inertial data generation system and a sensor data preprocessing system.
  • Introduced real-time 3D topographic mapping, multi-node SLAM, and elliptical sensor data filtering.

Main Results:

  • The new framework demonstrated low computational overhead with average execution times of 0.55 s for preprocessing and 0.15 ms for virtual inertial data generation.
  • Elliptical sensor data filtering achieved performance comparable to existing schemes.
  • Enhanced system utility through added functionalities like 3D mapping and multi-node capabilities.

Conclusions:

  • The proposed SLAM framework effectively addresses sensor-related challenges, enhancing the adaptability and functionality of Google Cartographer.
  • The integrated features provide a robust solution for diverse robotic applications, improving real-time mapping and localization accuracy.