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

Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

383
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
383
Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

940
The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
940
Maximum Deflection01:13

Maximum Deflection

980
When analyzing beams under unsymmetrical loads, such as a train moving on a bridge, it is crucial to accurately determine the points of maximum stress and deflection. The process involves identifying the maximum deflection of the beam, which may not always occur at its midpoint due to the uneven distribution of the load.
The maximum deflection occurs at a specific point, known as point O, where the tangent to the deflection curve is horizontal. To find point O, the slope of the tangent at any...
980
Wheatstone Bridge01:29

Wheatstone Bridge

1.1K
An ohmmeter is a resistance-measuring device. It works by applying a voltage to a resistor of unknown resistance and measuring the current across the resistor. The resistance value is deduced using Ohm's law. Usually, the standard configuration of an ohmmeter comprises a voltmeter or an ammeter. However, such configurations are limited in accuracy because the meters alter the voltage applied to the resistor and the current that flows through it.
Thus, for accurate resistance measurements, a...
1.1K
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

392
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
392
Distance Measurements by Taping01:18

Distance Measurements by Taping

401
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...
401

You might also read

Related Articles

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

Sort by
Same author

A UAV Vision-Based Deformation Monitoring Method with 3D Scale Constraints.

Sensors (Basel, Switzerland)·2025
Same author

A Two-Step Regional Ionospheric Modeling Approach for PPP-RTK.

Sensors (Basel, Switzerland)·2024
Same author

An Adaptive Radon-Transform-Based Marker Detection and Localization Method for Displacement Measurements Using Unmanned Aerial Vehicles.

Sensors (Basel, Switzerland)·2024
Same author

A Mitigation Method for Optical-Turbulence-Induced Errors and Optimal Target Design in Vision-Based Displacement Measurement.

Sensors (Basel, Switzerland)·2023
Same author

Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges.

Sensors (Basel, Switzerland)·2022
Same author

Performance Evaluation of Real-Time Precise Point Positioning with Both BDS-3 and BDS-2 Observations.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Jan 13, 2026

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.7K

UAV Vision-Based Method for Multi-Point Displacement Measurement of Bridges.

Deyong Pan1,2, Wujiao Dai2, Lei Xing1,2

  • 1National Engineering Research Center of High-Speed Railway Construction Technology, Changsha 410075, China.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new Unmanned Aerial Vehicle (UAV) vision system for precise bridge displacement monitoring. The method achieves high accuracy, comparable to specialized cameras, enhancing bridge safety assessments.

Keywords:
bridge monitoringmulti-point displacementunmanned aerial vehicle (UAV)vision-based measurement

More Related Videos

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.1K
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

3.7K

Related Experiment Videos

Last Updated: Jan 13, 2026

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.7K
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.1K
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

3.7K

Area of Science:

  • Civil Engineering
  • Geomatics Engineering
  • Structural Health Monitoring

Background:

  • Vision-based bridge displacement measurement using Unmanned Aerial Vehicles (UAVs) faces challenges due to camera motion interference and performance limitations.
  • Existing UAV motion correction methods lack the required precision for effective bridge monitoring.
  • There is a need for high-performance cameras that can act as adaptive sensors for accurate structural monitoring.

Purpose of the Study:

  • To propose a novel UAV vision-based method for multi-point displacement measurement of bridges.
  • To develop an integrated monitoring system comprising a UAV-mounted camera, computing terminal, and targets.
  • To evaluate the system's performance in monitoring dynamic bridge displacements under operational loads.

Main Methods:

  • Development of a UAV vision-based technique for multi-point displacement measurement.
  • Implementation of a monitoring system including a UAV, computing terminal, and targets.
  • Field testing on the Lunzhou Highway Bridge to capture dynamic displacements under vehicle loads.

Main Results:

  • The proposed system accurately measured vertical multi-point displacements across the entire span of the Lunzhou Highway Bridge.
  • Monitoring results closely matched those obtained using a Scheimpflug camera.
  • The system achieved a root mean square error (RMSE) of less than 0.3 mm.

Conclusions:

  • The developed UAV vision-based method effectively addresses challenges in bridge displacement monitoring.
  • The system provides essential, high-accuracy data for bridge safety assessments and structural health monitoring.
  • The findings demonstrate the potential of UAVs as a viable tool for precise infrastructure monitoring.