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

438
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...
438

You might also read

Related Articles

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

Sort by
Same author

Integrated omics analysis on organic fertilizer-mediated regulation of starch synthesis in cassava.

Frontiers in plant science·2026
Same author

Synergistic biomineralization of dentin driven by polar amino acids for dentin tubule occlusion.

Journal of oral science·2026
Same author

Elastin-like polypeptide induced biomimetic mineralization for dentin hypersensitivity.

Dental materials journal·2026
Same author

Context-Dependent Shift in Trace Element Risk Drivers for Carotid Plaque Instability: Copper Supersedes Iron in Patients with Hypertension or Diabetes.

Biological trace element research·2026
Same author

The density of tumour infiltrating lymphocytes in oesophago-gastric cancer varies with disease stage, geographical region and treatment: a post hoc analysis of nine phase III clinical trials.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association·2026
Same author

Atractylodes macrocephala polysaccharide AMP1-1 ameliorates weightless-induced cognitive dysfunction via the microbiota-gut-brain axis.

International journal of biological macromolecules·2026
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: Mar 12, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.6K

3D Buried Utility Location Using A Marching-Cross-Section Algorithm for Multi-Sensor Data Fusion.

Qingxu Dou1, Lijun Wei2, Derek R Magee3

  • 1School of Computing, University of Leeds, Leeds LS2 9JT, UK. Q.Dou@leeds.ac.uk.

Sensors (Basel, Switzerland)
|November 10, 2016
PubMed
Summary
This summary is machine-generated.

A new Marching-Cross-Section (MCS) algorithm accurately locates buried utilities by fusing data from multiple sensors like Ground Penetrating Radar (GPR) and magnetic field sensors. This advanced system precisely maps multiple, even intersecting, underground utility segments simultaneously.

Keywords:
buried utility locationmarching-cross-section algorithmmulti-sensor data fusion

More Related Videos

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

843
3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.7K

Related Experiment Videos

Last Updated: Mar 12, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.6K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

843
3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.7K

Area of Science:

  • Geophysics
  • Sensor Fusion
  • Robotics and Automation

Background:

  • Accurate location of buried utilities is crucial for infrastructure management and safety.
  • Existing methods often struggle with multiple, intersecting, or poorly documented utility lines.
  • Integrating diverse sensor data presents significant challenges in signal processing and data fusion.

Purpose of the Study:

  • To develop and validate a novel Marching-Cross-Section (MCS) algorithm for precise buried utility locating.
  • To fuse data from multiple sensors, including Ground Penetrating Radar (GPR), Passive Magnetic Fields (PMF), Magnetic Gradiometer (MG), Low Frequency Electromagnetic Fields (LFEM), and Vibro-Acoustics (VA).
  • To enable simultaneous detection and accurate mapping of multiple, intersecting, straight, and curved utility segments.

Main Methods:

  • Implementation of a novel Marching-Cross-Section (MCS) algorithm.
  • Utilizing a novel formulation of the extended Kalman Filter (EKF) for tracking utility segments across scan cross-sections.
  • Development of new rules for utility initialization and association of predicted tracks with detections.
  • Generation of virtual scan lines to handle non-overlapping sensor data or incomplete survey information.

Main Results:

  • The MCS algorithm successfully located multiple buried utility segments, including straight, curved, and intersecting ones.
  • Demonstrated accurate discrimination between closely spaced pipes and cables using 3D coordinates and detection probabilities.
  • Validated performance with both synthetic and real-world data, showing high accuracy in location and orientation.
  • The system supports both post- and on-site processing, with on-site use guiding subsequent scan line placement.

Conclusions:

  • The proposed multi-utility, multi-sensor system offers a robust solution for buried utility detection and mapping.
  • The MCS algorithm enhances accuracy and efficiency by effectively fusing data from diverse sensors.
  • The system's scalability allows for an unlimited number of utilities and sensors, with performance improving with more data.
  • This approach significantly advances the capabilities for underground infrastructure management and planning.