Jove
Visualize
Contact Us

Related Concept Videos

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

106
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...
106
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

128
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...
128
Errors in Global Positioning System01:26

Errors in Global Positioning System

121
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,...
121
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

129
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
129
Distance Measurements by Taping01:18

Distance Measurements by Taping

115
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
115
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

159
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,...
159

You might also read

Related Articles

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

Sort by
Same author

Deep Learning-Based Cell-Level and Beam-Level Mobility Management System.

Sensors (Basel, Switzerland)·2020
Same author

Benefits and Limitations of the Record and Replay Approach for GNSS Receiver Performance Assessment in Harsh Scenarios.

Sensors (Basel, Switzerland)·2018
See all related articles
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 22, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

6.9K

Toward Accurate Indoor Positioning: An RSS-Based Fusion of UWB and Machine-Learning-Enhanced WiFi.

Ghazaleh Kia1, Laura Ruotsalainen1, Jukka Talvitie2

  • 1Department of Computer Science, University of Helsinki, 00014 Helsinki, Finland.

Sensors (Basel, Switzerland)
|May 20, 2022
PubMed
Summary
This summary is machine-generated.

This study fuses Ultra Wide Band (UWB) and Wireless Fidelity (WiFi) signals using machine learning for enhanced indoor positioning. Combining these technologies improves localization accuracy by overcoming individual sensor limitations.

Keywords:
Gaussian processRSSRTTTwo-Way Ranging (TWR)UWBWiFifusionindoor position estimationmachine learning

More Related Videos

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

1.2K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K

Related Experiment Videos

Last Updated: Sep 22, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

6.9K
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

1.2K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K

Area of Science:

  • * Electrical Engineering
  • * Computer Science
  • * Signal Processing

Background:

  • * Indoor positioning systems commonly use diverse sensors like Ultra Wide Band (UWB) and Wireless Fidelity (WiFi).
  • * Achieving high localization accuracy in challenging indoor environments requires overcoming signal propagation issues.
  • * Sensor fusion offers a promising approach to enhance the precision of indoor positioning solutions.

Purpose of the Study:

  • * To improve indoor localization accuracy by fusing UWB and WiFi sensor data.
  • * To develop a novel Machine Learning (ML)-based method for integrating UWB and WiFi measurements.
  • * To address the limitations of individual indoor positioning technologies through synergistic application.

Main Methods:

  • * Fusion of Ultra Wide Band (UWB) Two Way Ranging (TWR) and Wireless Fidelity (WiFi) Round Trip Time (RTT) range measurements.
  • * Machine Learning (ML) enhancement of WiFi Received Signal Strength (RSS) data.
  • * Application of Gaussian Process (GP) regression for fusing range measurements.
  • * Positioning evaluation using trilateration with empirical range data.

Main Results:

  • * The proposed sensor fusion method demonstrated improved localization accuracy compared to individual systems.
  • * UWB and WiFi technologies were shown to effectively compensate for each other's inherent limitations.
  • * Empirical validation confirmed the efficacy of the ML-based fusion approach.

Conclusions:

  • * Fusing UWB and WiFi data significantly enhances indoor positioning accuracy.
  • * Machine learning techniques, particularly Gaussian Processes, are effective for sensor fusion in positioning.
  • * The combined system offers a robust solution for accurate indoor localization in complex environments.