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

Errors in Global Positioning System01:26

Errors in Global Positioning System

268
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,...
268
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

656
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...
656
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

320
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...
320
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

819
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
819
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

250
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...
250
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

695
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
695

You might also read

Related Articles

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

Sort by
Same author

Research progress of OTUD7B: from structural function and disease mechanisms to clinical translation.

Frontiers in immunology·2026
Same author

N-doping and large conjugated sp<sup>2</sup> domain-driven green fluorescence and oxidase-like activity in cellulose-derived carbon dots: A sensing platform integrating fluorescence and colorimetric modes for nitrite detection.

Bioresource technology·2026
Same author

Efficacy and Safety of Dupilumab in Chinese Adult Patients With Chronic Rhinosinusitis With Nasal Polyps: A Randomized, Placebo-Controlled, Phase III Trial.

Allergy·2026
Same author

Trends in Asthma-Rhinitis Allergic Multimorbidity and Polysensitization in China: The CARRAD Study.

MedComm·2026
Same author

Early life factors and genetic interactions in allergic rhinitis: a genome-wide study.

BMC pediatrics·2026
Same author

Diagnostic Role of Aspirin Challenge in NSAID-Exacerbated Respiratory Disease: A Prospective Single-Center Study in China.

Allergy, asthma & immunology research·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.5K

Improving Positioning Accuracy via Map Matching Algorithm for Visual-Inertial Odometer.

Juan Meng1,2,3, Mingrong Ren1,2,3, Pu Wang1,2,3

  • 1College of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel, Switzerland)
|January 23, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel map matching algorithm to enhance indoor visual-inertial odometry (VIO) positioning accuracy. The method uses conditional random fields to correct attitude estimation, improving reliability in challenging environments.

Keywords:
conditional random fieldindoor positioning systemmap matchingvisual–inertial odometer

More Related Videos

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K
Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.3K

Related Experiment Videos

Last Updated: Dec 30, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.5K
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K
Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.3K

Area of Science:

  • Robotics
  • Computer Vision
  • Sensor Fusion

Background:

  • Visual-inertial odometry (VIO) systems fuse vision and inertial data for motion tracking.
  • Indoor environments present challenges like illumination changes and sparse features, degrading VIO accuracy.
  • Existing VIO methods struggle with robust positioning in complex indoor settings.

Purpose of the Study:

  • To improve the positioning accuracy and reliability of visual-inertial odometry systems in indoor environments.
  • To develop a map matching algorithm that leverages indoor plane structure for enhanced localization.
  • To address the limitations of VIO caused by geometric transformations, sparse features, and noise.

Main Methods:

  • A conditional random field (CRF) model was employed for map matching.
  • Attitude information from the VIO system served as input to the CRF model.
  • Feature functions were established to estimate the maximum probabilistic attitude, enabling closed-loop feedback correction.

Main Results:

  • The proposed map matching algorithm significantly improved positioning accuracy in indoor environments.
  • The CRF-based approach demonstrated robustness against common VIO degradation factors.
  • Experimental results validated the feasibility and reliability of the enhanced VIO system.

Conclusions:

  • The integration of an indoor plane structure map matching algorithm with CRF effectively enhances VIO positioning.
  • This method provides a reliable solution for accurate indoor localization, overcoming environmental challenges.
  • The closed-loop feedback correction mechanism ensures robust and accurate motion tracking.