Jove
Visualize
Contact Us

Related Concept Videos

Errors in Global Positioning System01:26

Errors in Global Positioning System

131
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,...
131
Distance Corrections01:15

Distance Corrections

102
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
102
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

152
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
152
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

112
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...
112
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

967
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
967
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

186
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...
186

You might also read

Related Articles

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

Sort by
Same author

Multi-Agent Deep Reinforcement Learning for Collision-Free Posture Control of Multi-Manipulators in Shared Workspaces.

Sensors (Basel, Switzerland)·2025
Same author

Multimodal RGB-LiDAR Fusion for Robust Drivable Area Segmentation and Mapping.

Sensors (Basel, Switzerland)·2025
Same author

SOAR-RL: Safe and Open-Space Aware Reinforcement Learning for Mobile Robot Navigation in Narrow Spaces.

Sensors (Basel, Switzerland)·2025
Same author

Action Recognition of Taekwondo Unit Actions Using Action Images Constructed with Time-Warped Motion Profiles.

Sensors (Basel, Switzerland)·2024
Same author

Corrigendum to "Increase in lateral contact force in the tibiotalar joint during walking in flatfoot patients with reduced stiffness of the spring ligament" [J. Biomech. 157 (2023) 111711].

Journal of biomechanics·2023
Same author

Viewpoint-Agnostic Taekwondo Action Recognition Using Synthesized Two-Dimensional Skeletal Datasets.

Sensors (Basel, Switzerland)·2023
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: Oct 3, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

Component-Wise Error Correction Method for UWB-Based Localization in Target-Following Mobile Robot.

Kyungbin Bae1, Yooha Son1, Young-Eun Song2

  • 1Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an ultra-wideband localization method for mobile robots, significantly enhancing target tracking accuracy and robustness. The new approach reduces localization errors by 77% and deviations by 51% compared to existing methods.

Keywords:
UWB localizationautonomous mobile robottarget tracking

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

5.4K

Related Experiment Videos

Last Updated: Oct 3, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

5.4K

Area of Science:

  • Robotics
  • Signal Processing
  • Localization Technologies

Background:

  • Mobile robots are increasingly used in industrial settings.
  • Accurate target tracking is crucial for following robot performance.
  • Existing localization methods face challenges with accuracy and robustness.

Purpose of the Study:

  • To propose an ultra-wideband (UWB)-based target localization method for mobile robots.
  • To enhance the accuracy and robustness of target tracking.
  • To improve the performance of following robots in industrial applications.

Main Methods:

  • Utilizing a least square approximation framework for localization.
  • Implementing an initial calibration method to measure and compensate for device-dependent localization bias.
  • Employing an iterative complementary filter to reduce localization error deviation by weighting estimations based on reliability.

Main Results:

  • Demonstrated significant improvements in localization accuracy (up to 77%) and error deviation (up to 51%) through simulations and experiments.
  • Successfully compensated for localization bias across all points, not just calibration points.
  • Reduced high-frequency deviations in localization data.

Conclusions:

  • The proposed UWB localization method offers superior accuracy and robustness for target-following mobile robots.
  • The bias compensation and iterative filtering techniques effectively minimize localization errors.
  • This advancement has significant implications for industrial automation and robotics.