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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
81
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

1.2K
The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
1.2K
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

You might also read

Related Articles

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

Sort by
Same author

First record of intraspecific cleaning behavior by the threatened Leuciscidae Squalius alburnoides (Steindachner, 1866) at the Guadiana River basin (Portugal).

Journal of fish biology·2023
Same author

Genetic Algorithm to Solve Optimal Sensor Placement for Underwater Vehicle Localization with Range Dependent Noises.

Sensors (Basel, Switzerland)·2022
See all related articles

Related Experiment Video

Updated: Jul 20, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.6K

Sensor Placement in an Irregular 3D Surface for Improving Localization Accuracy Using a Multi-Objective Memetic

Paula A Graça1, José C Alves2, Bruno M Ferreira1

  • 1INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
Summary
This summary is machine-generated.

Optimizing acoustic sensor placement on irregular 3D surfaces improves underwater localization accuracy for autonomous underwater vehicles (AUVs). This method enhances navigation precision using an inverted ultra-short baseline (USBL) system.

Keywords:
3D sensor placementCramer-Rao Lower BoundFisher information matrixincidence anglememetic algorithmmulti-objective optimizationultra-short baselineunderwater acoustic localization

More Related Videos

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.0K
Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging
09:33

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Published on: November 15, 2024

1.3K

Related Experiment Videos

Last Updated: Jul 20, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.6K
Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

1.0K
Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging
09:33

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Published on: November 15, 2024

1.3K

Area of Science:

  • Robotics
  • Ocean Engineering
  • Navigation Systems

Background:

  • Accurate underwater localization is crucial for autonomous underwater vehicles (AUVs).
  • Existing methods often overlook optimal sensor placement on complex, constrained 3D surfaces.
  • Commercial acoustic systems typically use compact arrays, limiting sensor placement optimization.

Purpose of the Study:

  • To optimize acoustic sensor placement on irregular 3D surfaces for improved localization accuracy.
  • To enhance navigation precision for inverted ultra-short baseline (USBL) systems on AUVs.
  • To address the challenge of sensor placement in constrained 3D environments.

Main Methods:

  • Developed a multi-objective memetic algorithm for sensor placement optimization.
  • Integrated Cramer-Rao Lower Bound (CRLB) for geometric configuration evaluation.
  • Incorporated received signal incidence angle into the optimization process.

Main Results:

  • Demonstrated improved localization accuracy through optimized sensor placement on irregular surfaces.
  • Validated the algorithm in a simulated homing and docking scenario for AUVs.
  • Showcased the effectiveness of the proposed method for inverted USBL systems.

Conclusions:

  • Optimal acoustic sensor placement on constrained 3D surfaces significantly enhances underwater localization.
  • The developed multi-objective memetic algorithm provides an effective solution for sensor placement optimization.
  • This research offers a novel approach for improving AUV navigation and positioning accuracy.