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

Introduction to Global Positioning System

Introduction to Global Positioning System

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,...

Errors in Global Positioning System

Errors in Global Positioning System

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,...

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...

Types of Global Positioning System Surveys

Types of Global Positioning System Surveys

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...

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...

Design Example: Alignment of a Road Line Using GIS

Design Example: Alignment of a Road Line Using GIS

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...

You might also read

Related Articles

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

Sort by

Same author

Development of orthogonally protected hypusine for solid-phase peptide synthesis.

The Journal of organic chemistry·2015

Same author

Discovery of fruquintinib, a potent and highly selective small molecule inhibitor of VEGFR 1, 2, 3 tyrosine kinases for cancer therapy.

Cancer biology & therapy·2014

Same author

Enhancing the accuracy of knowledge discovery: a supervised learning method.

BMC bioinformatics·2014

Same author

Toxicokinetics and tissue distribution of prothioconazole in male adult Sprague-Dawley rats following a single oral administration.

Xenobiotica; the fate of foreign compounds in biological systems·2014

Same author

Anticancer agents from marine sponges.

Journal of Asian natural products research·2014

Same author

Adhesive polydopamine coated avermectin microcapsules for prolonging foliar pesticide retention.

ACS applied materials & interfaces·2014

Search research articles

Related Experiment Video

Updated: May 14, 2025

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla

Published on: October 18, 2021

An Enhanced, Real-Time, Low-Cost GNSS/INS Integrated Navigation Algorithm and Its Platform Design.

Pengcheng Wang¹, Yuting Gao¹, Qingzhi Zhao¹

¹College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China.

Sensors (Basel, Switzerland)

|April 12, 2025

Summary

This study introduces a new real-time algorithm for Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) integration, enhancing Unmanned Aerial Vehicle (UAV) positioning accuracy with low-cost devices.

Keywords:

global navigation satellite system (GNSS)inertial navigation system (INS)integrated navigation real-time unmanned aerial vehicles (UAVs)

More Related Videos

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

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

Published on: May 1, 2018

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Related Experiment Videos

Last Updated: May 14, 2025

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla

Published on: October 18, 2021

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

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

Published on: May 1, 2018

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Area of Science:

Navigation Systems
Robotics
Aerospace Engineering

Background:

Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) integration is crucial for accurate positioning, particularly for Unmanned Aerial Vehicles (UAVs).
Cost-effective UAVs often suffer from real-time processing demands and low-quality sensor measurements, hindering precise navigation.
Existing integrated navigation systems face challenges in real-time performance and accuracy with affordable hardware.

Purpose of the Study:

To develop and validate a velocity-constrained, enhanced, real-time, low-cost GNSS/INS integrated navigation algorithm and platform.
To improve the accuracy and stability of positioning for UAVs using integrated navigation.
To address the limitations of low-cost sensors and real-time processing in UAV navigation.

Main Methods:

Proposed a velocity-constrained, enhanced, real-time, low-cost GNSS/INS integrated navigation algorithm.
Designed an algorithmic platform based on the open-source KF_GINS software.
Implemented a loosely coupled integration of GNSS position and raw Inertial Measurement Unit (IMU) data, using a 4G data transmission unit (DTU) for real-time data transmission and computation.

Main Results:

The algorithm platform was successfully applied to low-cost integrated navigation devices, including UAVs.
Testing with vehicle-mounted and UAV datasets demonstrated effective computation under various conditions.
Achieved improvements in single-point positioning (SPP) accuracy by up to 15.38% horizontally and 6.78% vertically.

Conclusions:

The developed algorithm platform significantly enhances the accuracy and stability of integrated navigation positioning for UAVs.
The velocity-constrained approach effectively mitigates challenges associated with low-cost sensors and real-time processing.
This solution offers a viable method for improving the performance of navigation systems in cost-sensitive UAV applications.