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

The Colonization of Land02:22

The Colonization of Land

37.7K
Changes in the environment of the early Earth drove the evolution of organisms. As prokaryotic organisms in the oceans began to photosynthesize, they produced oxygen. Eventually, oxygen saturated the oceans and entered the air, resulting in an increase in atmospheric oxygen concentration, known as the oxygen revolution approximately 2.3 billion years ago. Therefore, organisms that could use oxygen for cellular respiration had an advantage. More than 1.5 years ago, eukaryotic cells and...
37.7K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

424
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
424
What are Estimates?01:06

What are Estimates?

8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

248
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
248
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

7.8K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
7.8K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.4K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.4K

You might also read

Related Articles

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

Sort by
Same author

Mechanisms Underlying Male Reproductive Toxicity Induced by Sublethal β-Cypermethrin Exposure in <i>Antheraea pernyi</i> (Guérin-Méneville, 1855) (Saturniidae).

Insects·2026
Same author

Contributions of ABC Transporters and Cytochrome P450s to the Tolerance in <i>Antheraea pernyi</i> Against Beta-Cypermethrin.

Insects·2026
Same author

Unveiling alternate pathways for SARS-CoV-2 infection via extracellular vesicle-mediated transfer of ACE2 and TMPRSS2.

Nature communications·2026
Same author

ICTD: Combination of Improved CNN-Transformer and Enhanced Deep Canonical Correlation Analysis for Eye-Movement Emotion Classification.

Brain sciences·2026
Same author

Influenza hijacks myeloid cells to inflict type-I interferon-fueled damage in the heart.

Immunity·2026
Same author

Circulating Extracellular Vesicles in the Pathogenesis of Heart Failure in Patients With Chronic Kidney Disease.

Circulation·2025

Related Experiment Video

Updated: Feb 4, 2026

Bacterial Detection & Identification Using Electrochemical Sensors
09:30

Bacterial Detection & Identification Using Electrochemical Sensors

Published on: April 23, 2013

29.0K

An Improved Yaw Estimation Algorithm for Land Vehicles Using MARG Sensors.

Gang Shi1,2,3, Xisheng Li4,5, Zhengfu Jiang6

  • 1School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. shigang_upc@163.com.

Sensors (Basel, Switzerland)
|September 29, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces an improved Kalman filter for accurate yaw estimation in land vehicles using MARG sensors. The novel method enhances reliability, especially in challenging magnetic environments.

Keywords:
Kalman filterattitude estimationland vehiclemagnetic angular rate and gravity (MARG) sensorquaternionyaw estimation

More Related Videos

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.1K
Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K

Related Experiment Videos

Last Updated: Feb 4, 2026

Bacterial Detection & Identification Using Electrochemical Sensors
09:30

Bacterial Detection & Identification Using Electrochemical Sensors

Published on: April 23, 2013

29.0K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.1K
Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K

Area of Science:

  • Robotics and Autonomous Systems
  • Sensor Fusion
  • Navigation Systems

Background:

  • Accurate yaw estimation is crucial for land vehicle navigation and control.
  • Traditional methods using Magnetic Angular Rate and Gravity (MARG) sensors can be affected by magnetic disturbances.
  • Existing Kalman filter approaches may not adequately address sensor noise and environmental interference.

Purpose of the Study:

  • To develop a robust linear Kalman filter for precise yaw estimation in land vehicles.
  • To enhance the performance of yaw estimation algorithms in magnetically disturbed environments.
  • To improve the overall reliability and accuracy of vehicle attitude estimation.

Main Methods:

  • Implementation of a linear Kalman filter utilizing MARG sensors.
  • Introduction of a vehicle status-dependent gyroscope measurement update.
  • Development of a two-step measurement update method, isolating magnetometer data processing.
  • Analysis of sensor output correlations using kinematic models and Coriolis theorem for vehicle status determination.

Main Results:

  • The proposed measurement update effectively supplements magnetometer data in noisy environments.
  • The two-step update method renders attitude estimation immune to magnetometer-induced errors.
  • Experimental results demonstrate superior yaw estimation performance compared to conventional algorithms.
  • The algorithm provides more reliable yaw estimation for land vehicles.

Conclusions:

  • The novel Kalman filter design significantly improves yaw estimation accuracy for land vehicles.
  • The proposed method offers enhanced robustness against magnetic disturbances.
  • This approach provides a more reliable solution for vehicle navigation systems.