Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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

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

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...

Field Application of Global Positioning System

Field Application of Global Positioning System

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...

You might also read

Related Articles

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

Sort by

Same author

Automatic diagnosis of melanoma using linear and nonlinear features from digital image.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 29, 2025

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

UAV Autonomous Localization using Macro-Features Matching with a CAD Model.

Akkas Haque¹, Ahmed Elsaharti¹, Tarek Elderini²

¹Department of Mechanical Engineering, University of North Dakota (UND), Upson II Room 266, 243 Centennial Drive, Stop 8359, Grand Forks, ND 58202, USA.

Sensors (Basel, Switzerland)

|February 5, 2020

Summary

This study introduces a new method for Unmanned Aerial Vehicle (UAV) navigation in GPS-denied areas. The system uses computer vision and machine learning for real-time indoor localization, enabling precise navigation without GPS.

Keywords:

3D registration GPS-denied environment UAV autonomous localization real-time

More Related Videos

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

Related Experiment Videos

Last Updated: Dec 29, 2025

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

Area of Science:

Robotics and Control Systems
Computer Vision and Machine Learning
Aerospace Engineering

Background:

Autonomous Unmanned Aerial Vehicles (UAVs) are crucial for various applications, but navigation in GPS-denied environments remains a significant challenge.
Existing sensor-based approaches for UAV navigation in GPS-denied settings require further advancements in accuracy and efficiency.
Real-time, portable localization solutions are essential for expanding UAV operational capabilities in complex indoor environments.

Purpose of the Study:

To present a novel, offline, portable, and real-time indoor Unmanned Aerial Vehicle (UAV) localization technique.
To address the challenge of UAV navigation in GPS-denied environments using macro-feature detection and matching.
To enable quick and accurate UAV localization within a Computer-Aided Design (CAD) model.

Main Methods:

Development of a system leveraging machine learning, traditional computer vision, and pre-existing environmental knowledge.
Real-time creation of a macro-feature description vector from UAV-captured images.
Simultaneous matching of the real-time vector with an offline vector derived from a CAD model for localization.

Main Results:

The proposed system demonstrated effective and accurate UAV localization in simulations and experimental implementations.
The algorithm exhibits a low computational burden, making it suitable for real-time applications.
The technique proved to be easily deployable in GPS-denied indoor environments.

Conclusions:

The developed macro-feature detection and matching technique offers a viable solution for real-time indoor UAV localization.
The system's efficiency and ease of deployment make it a promising advancement for UAV navigation in GPS-denied areas.
This research contributes to the broader field of autonomous systems by enhancing UAV capabilities in challenging operational settings.