Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

105
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...
105
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

122
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,...
122
Errors in Global Positioning System01:26

Errors in Global Positioning System

89
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,...
89
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

85
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...
85
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

155
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...
155
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

92
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...
92

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prospective Validation of the MIRACLE<sub>2</sub> Score for Early Neurological Stratification After Out-of-Hospital Cardiac-Arrest: The GLOBAL-MIRACLE Registry.

Circulation. Cardiovascular interventions·2026
Same author

Comparative Efficacy and Safety of Hybrid Endoscopic Submucosal Dissection for Colorectal Neoplasia: A Systematic Review and Meta-Analysis.

JGH open : an open access journal of gastroenterology and hepatology·2026
Same author

Thrombotic Microangiopathy Secondary to Capnocytophaga Sepsis: A Case Report.

Cureus·2026
Same author

MA-EVIO: A Motion-Aware Approach to Event-Based Visual-Inertial Odometry.

Sensors (Basel, Switzerland)·2025
Same author

The Coronary Microcirculation Re-explored: Pathophysiological Insights and Clinical Implications.

European cardiology·2025
Same author

Multiple infected cardiac myxoma in young female patient complicated with multiple systemic infarctions: case report and review of literature.

Journal of cardiothoracic surgery·2025

Related Experiment Video

Updated: Aug 16, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K

A GNSS/INS/LiDAR Integration Scheme for UAV-Based Navigation in GNSS-Challenging Environments.

Ahmed Elamin1,2, Nader Abdelaziz1,3, Ahmed El-Rabbany1

  • 1Department of Civil Engineering, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.

Sensors (Basel, Switzerland)
|December 23, 2022
PubMed
Summary

This study developed a multi-sensor navigation system for unmanned aerial vehicles (UAVs) to overcome Global Navigation Satellite System (GNSS) outages. The integrated system significantly improved trajectory accuracy compared to relying solely on GNSS.

Keywords:
INS/LiDAR SLAM integrationUAVintegrated navigation systemoptimized LOAM SLAM

More Related Videos

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.9K
Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System
07:03

Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System

Published on: May 5, 2022

4.6K

Related Experiment Videos

Last Updated: Aug 16, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.9K
Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System
07:03

Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System

Published on: May 5, 2022

4.6K

Area of Science:

  • Robotics and Autonomous Systems
  • Geomatics Engineering
  • Aerospace Navigation

Background:

  • Accurate pose estimation is critical for unmanned aerial vehicle (UAV) navigation, with Global Navigation Satellite Systems (GNSS) commonly used for outdoor localization.
  • Sole reliance on GNSS poses safety risks due to potential receiver malfunctions or antenna errors, necessitating robust alternative or supplementary navigation solutions.
  • Unmanned aerial system (UAS) data collection using GNSS/Inertial Navigation System (INS), LiDAR, and high-resolution cameras highlighted challenges during GNSS signal outages.

Purpose of the Study:

  • To develop and evaluate a multi-sensor integrated navigation system for UAVs to ensure reliable pose estimation during GNSS signal outages.
  • To address significant trajectory errors (exceeding 25 km) encountered during GNSS/INS processing due to antenna malfunction.
  • To compare the performance of the integrated system under complete GNSS outage versus scenarios with GNSS Precise Point Positioning (PPP) assistance.

Main Methods:

  • Implemented a multi-sensor integration system combining GNSS/INS, LiDAR (Velodyne Puck), and a high-resolution camera (Sony a7R II).
  • Processed LiDAR data using the optimized LOAM SLAM algorithm for position and orientation estimation.
  • Utilized Pix4D Mapper software for camera image processing with Ground Control Points (GCPs) to establish precise camera poses as ground truth.

Main Results:

  • The integrated GNSS/INS/LiDAR navigation system successfully recovered precise UAV trajectories despite prolonged GNSS outages.
  • Significant improvements were observed with GNSS PPP assistance compared to complete GNSS outage, including RMSE reductions of ~51% (horizontal) and ~78% (vertical).
  • Root Mean Square Error (RMSE) for roll and yaw angles decreased by 13% and 30%, respectively, while pitch angle RMSE increased by ~13%.

Conclusions:

  • Multi-sensor integration, particularly incorporating LiDAR SLAM, offers a robust solution for UAV navigation during GNSS signal degradation or failure.
  • The developed GNSS/INS/LiDAR system demonstrates enhanced reliability and accuracy for UAV pose estimation in challenging environments.
  • While overall accuracy improved, specific angular error characteristics (e.g., pitch) warrant further investigation and refinement in sensor fusion algorithms.