Jove
Visualize
Contact Us

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

27
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...
27
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

55
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
55

You might also read

Related Articles

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

Sort by
Same author

A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging.

Frontiers in artificial intelligence·2025
Same author

A Simulator and First Reinforcement Learning Results for Underwater Mapping.

Sensors (Basel, Switzerland)·2022
Same author

Predicting Intention of Motion During Rehabilitation Tasks of the Upper-Extremity.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2021
Same author

Sorting Objects from a Conveyor Belt Using POMDPs with Multiple-Object Observations and Information-Gain Rewards.

Sensors (Basel, Switzerland)·2020
Same author

Vision and Control for UAVs: A Survey of General Methods and of Inexpensive Platforms for Infrastructure Inspection.

Sensors (Basel, Switzerland)·2015
Same author

Efficient model learning methods for actor-critic control.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2011
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
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 Experiment Video

Updated: Jun 26, 2025

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

5.2K

Exploration-Based Planning for Multiple-Target Search with Real-Drone Results.

Bilal Yousuf1, Zsófia Lendek1, Lucian Buşoniu1

  • 1Department of Automation, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel drone search strategy using a receding-horizon planner for efficient static target localization. The approach outperforms baseline methods in simulations and real-world experiments.

Keywords:
Parrot Mambo minidroneexploration-based searchmulti-target searchprobability hypothesis density filter

More Related Videos

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
07:23

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

23.0K
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

1.4K

Related Experiment Videos

Last Updated: Jun 26, 2025

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

5.2K
Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
07:23

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

23.0K
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

1.4K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Vision

Background:

  • Drones are increasingly used for search and surveillance tasks.
  • Efficiently locating unknown static targets is a significant challenge in drone operations.
  • Existing methods like lawnmower and active-search patterns have limitations.

Purpose of the Study:

  • To develop and evaluate a novel, efficient drone search strategy for localizing an unknown number of static targets.
  • To combine exploration and target refinement in a receding-horizon planning framework.
  • To demonstrate the effectiveness of the proposed method against baseline approaches.

Main Methods:

  • Utilizing a multi-target particle filter to update target intensity based on imperfect measurements.
  • Implementing a receding-horizon planner that optimizes drone movement for exploration and refinement.
  • Integrating an obstacle-avoidance controller for waypoint navigation.
  • Validating the approach through simulations and a real-world experiment with a Parrot Mambo drone.

Main Results:

  • The proposed receding-horizon planner significantly improved search efficiency compared to lawnmower and active-search baselines.
  • The system successfully localized targets using on-board image segmentation for measurements.
  • The framework demonstrated robust performance in both simulated and real-world environments.
  • Confidently localized targets were dynamically removed from the search space.

Conclusions:

  • The novel receding-horizon planning framework offers a superior approach for drone-based static target search and localization.
  • The integration of multi-target particle filtering and exploration-refinement objectives enhances search efficiency.
  • The demonstrated success in real-world experiments highlights the practical applicability of the proposed method.