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

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

78
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...
78
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

240
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...
240

You might also read

Related Articles

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

Sort by
Same author

Si-modified beta-Ti-25Mo biomaterials with reduced elastic modulus, enhanced corrosion resistance, and cytocompatibility.

Biomedical physics & engineering express·2026
Same author

Applications of Recombinant DNA Technology in Medicine: A Comprehensive Review.

Molecular biotechnology·2026
Same author

Safe blood, strong nation - The journey of India's blood transfusion services: Under Ministry of Health and Family Welfare, Government of India.

Asian journal of transfusion science·2026
Same author

Intimate Partner Violence and Mental Health in Rural Women.

Annals of neurosciences·2026
Same author

Ultrasound-Guided Selective Trunk Block Combined With Supraclavicular Nerve Block for Awake Shoulder Arthroscopy: A Case Series.

Cureus·2026
Same author

Integration of mass spectrometry and molecular biotechnology to study bioaerosols.

Chemosphere·2026

Related Experiment Video

Updated: Jul 18, 2025

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

1.5K

Unmanned Ariel Vehicle (UAV) Path Planning for Area Segmentation in Intelligent Landmine Detection Systems.

Ahmed Barnawi1, Krishan Kumar2, Neeraj Kumar1

  • 1Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
Summary

This study introduces an automated framework for landmine detection using unmanned aerial vehicles (UAVs). The system optimizes UAV flight paths for efficient and safe aerial surveys in contaminated areas.

Keywords:
coverage path planningdeep learninglandmine detectionsegmentation

More Related Videos

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.1K
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

5.3K

Related Experiment Videos

Last Updated: Jul 18, 2025

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

1.5K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.1K
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

5.3K

Area of Science:

  • Robotics and Autonomous Systems
  • Environmental Engineering
  • Geospatial Analysis

Background:

  • Landmine contamination poses a global threat, necessitating efficient and safe detection methods.
  • Current landmine detection is costly, time-consuming, and potentially hazardous, especially in unknown areas.
  • Unmanned Aerial Vehicles (UAVs) offer a promising platform for airborne sensing in landmine detection.

Purpose of the Study:

  • To develop an autonomous framework for UAV-based landmine detection.
  • To optimize UAV coverage routes for efficient scanning of contaminated areas.
  • To enhance the safety and efficacy of landmine detection processes.

Main Methods:

  • Utilizing deep learning for area-of-interest extraction via image segmentation.
  • Developing an automated system to plan optimal UAV coverage routes.
  • Evaluating multiple coverage path patterns for ideal aerial survey design.

Main Results:

  • A novel framework for autonomous UAV-based landmine detection was successfully developed.
  • The framework demonstrated efficient route planning for comprehensive aerial surveys.
  • Effectiveness was validated across diverse target areas with varying complexities.

Conclusions:

  • The proposed framework enhances the automation and efficiency of landmine detection using UAVs.
  • Optimized coverage path planning is crucial for resource management in UAV-based surveys.
  • This approach significantly improves the safety and efficacy of identifying landmine threats.