Jove
Visualize
Contact Us

Related Concept Videos

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

165
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...
165
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

113
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...
113
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

86
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...
86
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

444
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
444

You might also read

Related Articles

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

Sort by
Same author

Real-Time Object Detection for Autonomous Solar Farm Inspection via UAVs.

Sensors (Basel, Switzerland)·2024
Same author

RUDE-AL: Roped UGV Deployment Algorithm of an MCDPR for Sinkhole Exploration.

Sensors (Basel, Switzerland)·2023
Same author

Deep Learning Vision System for Quadruped Robot Gait Pattern Regulation.

Biomimetics (Basel, Switzerland)·2023
Same author

A Novel Active Device for Shoulder Rotation Based on Force Control.

Sensors (Basel, Switzerland)·2023
Same author

From SLAM to Situational Awareness: Challenges and Survey.

Sensors (Basel, Switzerland)·2023
Same author

Thrust Vectoring Control for Heavy UAVs, Employing a Redundant Communication System.

Sensors (Basel, Switzerland)·2023
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 Experiment Video

Updated: Sep 3, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.1K

Performance Analysis of Localization Algorithms for Inspections in 2D and 3D Unstructured Environments Using 3D Laser

Paul Espinosa Peralta1, Marco Andrés Luna1, Paloma de la Puente1

  • 1Centro de Automática y Robótica (CAR), Universidad Politécnica de Madrid (CSIC-UPM), 28006 Madrid, Spain.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

This study compares two Unmanned Aerial Vehicle (UAV) localization methods for industrial inspection. Using CAD models, both Adaptive Monte Carlo Localization (AMCL) and Iterative Closest Point (ICP) algorithms show promise for robust navigation.

Keywords:
3D sensorUAVlocalizationparticle filter

More Related Videos

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.2K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

773

Related Experiment Videos

Last Updated: Sep 3, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.1K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.2K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

773

Area of Science:

  • Robotics and Autonomous Systems
  • Computer Vision and Machine Learning
  • Aerospace Engineering

Background:

  • Accurate localization is critical for Unmanned Aerial Vehicle (UAV) autonomous navigation in industrial inspection, especially in unstructured environments with large objects.
  • Existing methods often struggle with pose estimation relative to complex environmental features.
  • A prerequisite for the analyzed methods is a pre-existing Computer-Aided Design (CAD) model of the target object.

Purpose of the Study:

  • To analyze and compare two distinct UAV localization approaches for industrial inspection tasks.
  • To evaluate the effectiveness of these methods in unstructured scenarios involving large-scale objects like aircraft and trucks.
  • To assess the performance improvements gained by utilizing CAD models and advanced algorithms for pose estimation.

Main Methods:

  • Approach 1: Utilizes an occupancy map derived from a 2D projection of the CAD model, combined with the Adaptive Monte Carlo Localization (AMCL) algorithm and a likelihood field observation model.
  • Approach 2: Employs a 3D point cloud prior map from the CAD model and a scan-matching algorithm integrating the Iterative Closest Point (ICP) algorithm with the Unscented Kalman Filter (UKF).
  • Both simulated and real flight data, focusing on aircraft inspection and including truck inspection, were used for extensive evaluation.

Main Results:

  • Creating 2D or 3D maps from CAD models and using 3D laser scans optimizes processing time, resource usage, and enhances robustness for UAV localization.
  • Segmentation techniques for unexpected objects in 2D maps significantly improve AMCL performance; initial positioning near geometrically relevant areas accelerates AMCL convergence and accuracy.
  • The ICP-NL (ICP with a novel constraint) method combined with UKF demonstrates faster and more robust performance than NDT, unaffected by flight height, though accuracy may be insufficient for high-precision needs.

Conclusions:

  • Leveraging CAD models to generate 2D/3D maps and employing 3D laser scans offers an efficient and robust solution for UAV localization in industrial inspection.
  • AMCL can achieve faster convergence and high accuracy, suggesting its potential as an initial position estimation method for other localization algorithms, especially with improved object segmentation.
  • The ICP-NL with UKF provides a robust and efficient scan-matching solution, suitable for various environments, but may require further refinement for applications demanding extremely high accuracy.