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

Plane Potential Flows01:23

Plane Potential Flows

453
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
453
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

104
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
104
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

253
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
253
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

129
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
129
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

125
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
125
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

117
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
117

You might also read

Related Articles

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

Sort by
Same author

Associations between TT-TG distance and rotational and coronal alignment in recurrent patellar dislocation.

BMC musculoskeletal disorders·2026
Same author

Development and comparison of challenge models for three serovars of Avibacterium paragallinarum.

Poultry science·2026
Same author

The effects of cluster-set resistance training on mental health and sleep quality in sedentary young women: protocol for a randomized controlled trial.

Frontiers in psychology·2026
Same author

The functions and inhibitors of protein tyrosine phosphatase B from <i>Mycobacterium tuberculosis</i>.

Frontiers in immunology·2026
Same author

ACR3 as a Key Regulator Antimicrobial Lipopeptide Synthesis and Efflux in Bacillus velezensis HN-1.

Molecular plant pathology·2026
Same author

Interlaced 2D cellulose networks with molecular enrichment capability for sensitive SERS detection of sweat biomarkers.

Mikrochimica acta·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: Sep 11, 2025

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

166

Research on Ground Point Cloud Segmentation Algorithm Based on Local Density Plane Fitting in Road Scene.

Tao Wang1,2, Yiming Fu1,2, Zhi Zhang3

  • 1School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
Summary
This summary is machine-generated.

This study presents a novel ground point cloud segmentation algorithm for road scenes. The method effectively reduces ground interference in 3D point cloud data, improving recognition and prediction.

Keywords:
clustering algorithmground point cloudslocal densityplane fitting

More Related Videos

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.8K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.7K

Related Experiment Videos

Last Updated: Sep 11, 2025

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

166
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.8K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.7K

Area of Science:

  • Computer Vision
  • Robotics
  • Geospatial Data Analysis

Background:

  • 3D point cloud data in road scenes suffers from ground interference and uneven density.
  • This interference complicates subsequent recognition and prediction tasks.

Purpose of the Study:

  • To develop an effective ground point cloud segmentation algorithm for road scenes.
  • To address challenges posed by uneven density and ground interference in 3D point cloud data.

Main Methods:

  • Density segmentation to balance point cloud density.
  • Candidate sample selection and plane validity detection.
  • Modified DBSCAN clustering for plane fitting and segmentation.
  • Abnormal inspection for result refinement.

Main Results:

  • The algorithm effectively segments ground point clouds.
  • Demonstrated advantages over existing advanced algorithms.
  • Significantly reduced ground interference in 3D point cloud data.

Conclusions:

  • The proposed algorithm improves scalability, reduces training costs, and enhances deployment efficiency and universality.
  • The method offers a robust solution for processing noisy 3D road scene data.