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

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

245
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
245

You might also read

Related Articles

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

Sort by
Same author

Cooperative Design of Ranging and Communication for In-Band Full-Duplex Inter-Satellite Links.

Sensors (Basel, Switzerland)·2026
Same author

Efficient Topology Design for LEO Mega-Constellation Using Topological Structure Units with Heterogeneous ISLs.

Sensors (Basel, Switzerland)·2025
Same author

A New Measurement Method for BDS Inter-Satellite Link Based on Co-Frequency Co-Time Full Duplex System.

Sensors (Basel, Switzerland)·2025
Same author

A densely connected causal convolutional network separating past and future data for filling missing PM<sub>2.5</sub> time series data.

Heliyon·2024
Same author

Joint Beamforming Design for RIS-Assisted Integrated Satellite-HAP-Terrestrial Networks Using Deep Reinforcement Learning.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jul 30, 2025

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.2K

Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective.

Yudi Chen1, Yiwen Jiao1, Min Wu2

  • 1Department of Electronic and Optical Engineering, Space Engineering University, Beijing 101416, China.

Sensors (Basel, Switzerland)
|May 13, 2023
PubMed
Summary

This study enhances group target tracking (GTT) for unmanned aerial vehicle (UAV) swarms by improving measurement handling, maneuver modeling, and group formation. These advancements aim to boost GTT performance against complex, mobile UAV threats.

Keywords:
group target trackinggroups’ spawning and combinationmaneuver modelingmeasurements partitioningshape estimationunmanned aerial vehicles

More Related Videos

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees
09:09

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Published on: November 15, 2014

11.0K
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

5.3K

Related Experiment Videos

Last Updated: Jul 30, 2025

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.2K
Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees
09:09

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Published on: November 15, 2014

11.0K
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

5.3K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Defense Technology

Background:

  • Group target tracking (GTT) is crucial for countering unmanned aerial vehicles (UAVs).
  • The performance of GTT can be degraded by the complex distribution and high mobility characteristic of UAV swarms.
  • Existing GTT methods struggle with non-uniform measurements and dynamic swarm behaviors.

Purpose of the Study:

  • To propose novel solutions for enhancing GTT performance specifically for UAV swarms.
  • To address challenges posed by non-uniform measurements, arbitrary distributions, and high mobility of UAVs.
  • To improve the accuracy and efficiency of tracking dynamic UAV formations.

Main Methods:

  • Implemented an Ordering Points To Identify Clustering Structure (OPTICS) based method for automatic measurement partitioning.
  • Utilized deep learning for maneuver modeling of UAV swarms to enhance centroid tracking precision.
  • Applied key point extraction and preset geometric models for accurate estimation of the group's three-dimensional (3D) shape.
  • Developed optimized criteria for managing the spawning and combination of tracking groups.

Main Results:

  • The proposed OPTICS method effectively handles non-uniform measurements with arbitrary contour distributions.
  • Deep learning-based maneuver modeling significantly improves centroid tracking precision for UAV swarms.
  • Key point extraction and geometric models lead to more accurate 3D shape estimation of UAV groups.
  • Optimized criteria enhance the dynamic management of tracking groups, improving overall GTT efficiency.

Conclusions:

  • The integrated approach offers a robust framework for enhancing GTT against UAV swarms.
  • The proposed methods demonstrate potential for improving tracking accuracy and adaptability in complex scenarios.
  • Further validation through rigorous derivations and harsh simulations is planned to confirm effectiveness.