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

Profile Leveling and Cross Sections01:26

Profile Leveling and Cross Sections

857
Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
857

You might also read

Related Articles

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

Sort by
Same author

Multi-Target Radar Speed Meter Failure Mechanism Research.

Sensors (Basel, Switzerland)·2026
Same author

Quaternary climatic oscillations shaped the demographic history and triggered intraspecific divergence of <i>Rhododendron shanii</i>, a mid-montane endemic in eastern Asia.

Frontiers in plant science·2026
Same author

Chloroplast genome comparison and taxonomic reassessment of Polygonatum sensu Lato (Asparagaceae): implications for molecular marker development in traditional medicinal plants.

BMC genomics·2025
Same author

Uncertainty Evaluation of Two-Dimensional Horizontal Distributed Photometric Sensor Based on MCM for Illuminance Measurement Task.

Sensors (Basel, Switzerland)·2025
Same author

Context-Aware Enhanced Feature Refinement for small object detection with Deformable DETR.

Frontiers in neurorobotics·2025
Same author

Experimental and Numerical Investigations on the Seismic Performance of High-Strength Exterior Beam-Column Joints with Steel Fibers.

Materials (Basel, Switzerland)·2024

Related Experiment Video

Updated: Oct 18, 2025

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

926

Measuring Vehicle Profile Size: Lidar-Based System and K-Frame-Based Methodology.

Qiang Zhang1, Zihao Wang2, Jianwen Shao2

  • 1College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.

Sensors (Basel, Switzerland)
|September 28, 2021
PubMed
Summary

This study introduces a lidar-based system and K-frame algorithm for accurate vehicle profile measurement, overcoming weather limitations of traditional light curtains. The new method demonstrates superior accuracy compared to existing techniques.

Keywords:
K-frame-based methodologycalibrationlidarvehicle profile size measurement

More Related Videos

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.1K
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

247

Related Experiment Videos

Last Updated: Oct 18, 2025

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

926
Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.1K
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

247

Area of Science:

  • Engineering
  • Computer Vision
  • Metrology

Background:

  • Traditional light curtain systems for vehicle profile measurement are susceptible to environmental factors like temperature and humidity.
  • Existing methods lack robustness and accuracy in diverse weather conditions.

Purpose of the Study:

  • To propose and validate a novel lidar-based system employing a K-frame algorithm for precise vehicle profile size measurement.
  • To address the limitations of current vehicle profiling technologies by offering a weather-resilient solution.

Main Methods:

  • Development of a lidar-based system comprising multiple lidar sensors and an industrial computer.
  • Investigation and optimization of a K-frame-based algorithm through experimental validation.
  • Comparative analysis against vision-based and other lidar-based vehicle profiling methods.

Main Results:

  • An optimal algorithm combination, A16, was identified through systematic experimentation.
  • The proposed system and K-frame methodology exhibited excellent generality and repeatability across various vehicle types.
  • The lidar-based K-frame approach significantly outperformed comparative vision-based and lidar-based methods in accuracy.

Conclusions:

  • The proposed lidar-based system with the K-frame algorithm offers a highly accurate and reliable solution for vehicle profile measurement.
  • This novel methodology overcomes the environmental sensitivities associated with light curtain systems.
  • The K-frame algorithm provides a robust foundation for advanced vehicle metrology applications.