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

Application of Linearization and Approximation01:29

Application of Linearization and Approximation

A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
Vector Functions and Motion: Problem Solving01:30

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...
Real-World Applications of Space Curves01:29

Real-World Applications of Space Curves

Modern aerospace navigation depends on the accurate prediction of motion in three-dimensional space. In defense applications, radar systems continuously track both interceptors and moving aerial targets to find whether their flight paths will result in a collision. These motions are modeled mathematically as space curves, which represent paths that change continuously with time. Each object’s position is described by a vector function that specifies its location in terms of time-dependent...
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

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 served as...
Vectors in 2D: Problem Solving01:29

Vectors in 2D: Problem Solving

A plane traveling due north at 180 km/h in still air was found to be 80 km off-course after 30 minutes, deviating approximately 5 degrees east of north. This deviation means the influence of a crosswind alters the plane’s intended trajectory. The actual ground path formed a diagonal, suggesting that the aircraft’s effective ground speed was reduced to 160 km/h and directed slightly to the east due to the wind.By analyzing the displacement from the intended path, the velocity contributed by the...
Integration Applied to Polar Coordinates to Find Arc Lengths01:26

Integration Applied to Polar Coordinates to Find Arc Lengths

In polar coordinates, a plane curve is described by a radial distance r from a fixed point, called the pole, and an angle θ measured from a reference direction. This system is especially useful for paths that naturally involve rotation, such as an expanding spiral followed by a search drone. If the hiker’s last known position is treated as the pole, then the drone’s location at any instant can be represented by the polar equation r = f(θ), where the distance from the pole changes as the drone...

You might also read

Related Articles

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

Sort by
Same author

Defining the transmissible dose 50% for two pandemic influenza viruses in ferrets.

Journal of virology·2026
Same author

Vaccine-induced NA immunity decreases viral shedding, but does not disrupt chains of airborne transmission for the 2009 pandemic H1N1 virus in ferrets.

mBio·2024
Same author

Intranasal SARS-CoV-2 RBD decorated nanoparticle vaccine enhances viral clearance in the Syrian hamster model.

bioRxiv : the preprint server for biology·2022
Same author

Immune durability and protection against SARS-CoV-2 re-infection in Syrian hamsters.

Emerging microbes & infections·2022
Same author

The fitness of drug-resistant malaria parasites in a rodent model: multiplicity of infection.

Journal of evolutionary biology·2011
Same author

The clinical features of late onset acne compared with early onset acne in women.

Journal of the European Academy of Dermatology and Venereology : JEADV·2010

Related Experiment Video

Updated: Jul 7, 2026

Computer Vision-Based Biomass Estimation for Invasive Plants
08:47

Computer Vision-Based Biomass Estimation for Invasive Plants

Published on: February 9, 2024

Hybrid estimation of navigation parameters from aerial image sequence.

D G Sim1, S Y Jeong, D H Lee

  • 1Department of Electronic Engineering, Sogang University, Seoul 100-611, Korea.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 12, 2008
PubMed
Summary

This study introduces a hybrid method for estimating aircraft navigation parameters from aerial images. The system effectively determines position and velocity for autonomous navigation.

Related Experiment Videos

Last Updated: Jul 7, 2026

Computer Vision-Based Biomass Estimation for Invasive Plants
08:47

Computer Vision-Based Biomass Estimation for Invasive Plants

Published on: February 9, 2024

Area of Science:

  • Aerospace Engineering
  • Computer Vision
  • Robotics

Background:

  • Autonomous navigation systems require accurate real-time position and velocity estimation.
  • Sequential aerial imagery offers a rich data source for navigation parameter determination.
  • Existing methods may face challenges in achieving robust and precise navigation parameter estimation.

Purpose of the Study:

  • To develop and validate a hybrid method for aircraft navigation parameter estimation.
  • To integrate relative and absolute position estimation techniques for enhanced accuracy.
  • To demonstrate the effectiveness of the proposed algorithm using real aerial image sequences.

Main Methods:

  • A hybrid approach combining relative and absolute position estimation techniques.
  • Utilizing sequential aerial images as input for the navigation parameter estimation algorithm.
  • Computer simulations were conducted to evaluate the algorithm's performance.

Main Results:

  • The proposed hybrid method successfully estimated navigation parameters (position and velocity).
  • The algorithm demonstrated effectiveness across two distinct sets of real aerial image sequences.
  • Validation through computer simulations confirmed the algorithm's performance.

Conclusions:

  • The hybrid navigation parameter estimation method is effective for autonomous aircraft navigation.
  • The integration of relative and absolute estimation components enhances navigation accuracy.
  • The algorithm shows promise for real-world applications in aerial autonomous systems.