Jove
Visualize
Contact Us

Related Concept Videos

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

465
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...
465
Errors in Global Positioning System01:26

Errors in Global Positioning System

438
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,...
438
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

856
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...
856
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.1K
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...
1.1K
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

29.8K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
29.8K

You might also read

Related Articles

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

Sort by
Same author

Statistical AI Enables Precise Screening of Multielement Catalysts.

Journal of the American Chemical Society·2026
Same author

Intraoperative Stress Burden, Adapted Textbook Outcome, and Overall Survival After Curative-Intent Gastrectomy for Gastric Adenocarcinoma: A Single-Center Retrospective Cohort Study.

Cancers·2026
Same author

Seasonal and Sex Differences in Children's Body Composition Under In-Term PA Versus Vacation Non-PA Periods: A 40-Month Natural-Experiment Observation.

American journal of human biology : the official journal of the Human Biology Council·2026
Same author

The quintom theory of dark energy after DESI DR2.

National science review·2026
Same author

One-step warming procedure improves embryonic development of vitrified mouse oocytes by mitigating mitochondrial damage.

Journal of assisted reproduction and genetics·2026
Same author

Spatiotemporal Detection and Uncertainty Visualization of Atmospheric Blocking Events.

IEEE transactions on visualization and computer graphics·2026
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: Apr 15, 2026

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.9K

MLISB-RTK: Machine Learning Based on Inter-System Biases to Improve the Performance of RTK in Complex Environments.

Ruwei Zhang1,2, Wenhao Zhao3, Xiaowei Shao1

  • 1School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200030, China.

Sensors (Basel, Switzerland)
|April 14, 2026
PubMed
Summary

A new machine-learning method improves real-time kinematic (RTK) ambiguity resolution by reducing false alarms and missed detections. This approach enhances positioning accuracy and reliability in challenging environments.

Keywords:
RTKambiguity solutionschallenging environmentsinter-system biases (ISB)

More Related Videos

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

500
Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats
06:17

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

Published on: April 3, 2026

53

Related Experiment Videos

Last Updated: Apr 15, 2026

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.9K
Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

500
Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats
06:17

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

Published on: April 3, 2026

53

Area of Science:

  • Geomatics Engineering
  • Satellite Navigation Systems
  • Machine Learning Applications

Background:

  • Real-time kinematic (RTK) ambiguity resolution faces challenges with false alarms and missed detections, impacting positioning reliability.
  • Existing methods for verifying RTK ambiguity fixing often rely on empirical values, limiting their effectiveness.

Purpose of the Study:

  • To develop and validate a machine-learning method for correctness checking of RTK ambiguity fixing.
  • To reduce false alarms and missed detections in RTK positioning.

Main Methods:

  • An inter-system differential RTK model was employed, introducing the differential inter-system biases (DISB) feature.
  • Machine learning classification utilized DISB, ratio value, DOP value, and residuals as features.
  • The proposed method was evaluated using the SmartPNT-POS dataset.

Main Results:

  • The machine-learning method significantly reduced missed detection probability by 2% and false-alarm probability by 29%.
  • Positioning accuracy improved by approximately 7% compared to traditional methods.
  • The DISB feature demonstrated the highest contribution rate in the classification model.

Conclusions:

  • The proposed machine-learning approach effectively enhances the reliability and accuracy of RTK ambiguity resolution.
  • The DISB feature is a valuable indicator for improving machine learning-based RTK verification.
  • This method offers a promising solution for robust positioning in challenging environments.