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

36
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...
36
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

522
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...
522

You might also read

Related Articles

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

Sort by
Same author

Nourishing nations during pandemics: why prioritize fish diets and aquatic foods in Africa.

Maritime studies : MAST·2022
Same author

WTO must ban harmful fisheries subsidies.

Science (New York, N.Y.)·2021
Same author

On addition-subtraction chains of numbers with low Hamming weight.

Notes on number theory and discrete mathematics·2020
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 13, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

6.0K

Efficient Drone Detection Using Temporal Anomalies and Small Spatio-Temporal Networks.

Abhijit Mahalanobis1, Amadou Tall1

  • 1Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85719, USA.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces TRX-TCRNet, a lightweight drone detection system for infrared videos. It achieves high accuracy with minimal computational cost, making it ideal for edge devices.

Keywords:
TCRNetTRX detectoranomaly detectioninfrared drone detectionspatio-temporal analysis

More Related Videos

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

3.0K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

454

Related Experiment Videos

Last Updated: Jan 13, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

6.0K
Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

3.0K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

454

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Signal Processing

Background:

  • Detecting small drones in infrared (IR) imagery is challenging due to low visibility, resolution, and cluttered backgrounds, leading to high false alarms and missed detections.
  • Existing methods often require substantial computational resources, limiting their applicability in real-time, edge-based scenarios.

Purpose of the Study:

  • To develop a computationally efficient and accurate drone detection system for infrared video sequences.
  • To address the limitations of current drone detection techniques in resource-constrained environments.

Main Methods:

  • A lightweight pipeline combining an unsupervised statistical temporal anomaly detector (temporal Reed Xiaoli - TRX) with a light-weight convolutional neural network (TCRNet).
  • TRX identifies anomalies, while TCRNet discriminates drones from clutter using spatio-temporal patches.
  • Confidence maps from both modules are additively fused for drone localization.

Main Results:

  • The proposed TRX-TCRNet achieves exceptional computational efficiency (0.17 GFLOPs, 0.83 M parameters), outperforming competitors by 145-795 times in resource usage.
  • Achieved high detection accuracy with a mean Average Precision (mAP50) of 97.40%.
  • Demonstrated significant efficiency-performance trade-offs suitable for real-time applications.

Conclusions:

  • The TRX-TCRNet framework offers an unprecedented balance of high detection accuracy and minimal computational requirements.
  • The system is exceptionally suitable for resource-constrained environments and embedded systems, enabling effective drone detection on edge devices.