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: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

222
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...
222
Classification of Systems-I01:26

Classification of Systems-I

465
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
465
Classification of Systems-II01:31

Classification of Systems-II

392
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
392
Response Surface Methodology01:16

Response Surface Methodology

461
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
461
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

200
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,...
200
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

620
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...
620

You might also read

Related Articles

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

Sort by
Same author

Performance of Mandibular Advancement Devices When Opening the Mouth.

Annals of biomedical engineering·2026
Same author

Advances in Intelligent Vehicle Control.

Sensors (Basel, Switzerland)·2022
Same author

Modeling of the Influence of Operational Parameters on Tire Lateral Dynamics.

Sensors (Basel, Switzerland)·2022
Same author

A Novel Method for Determining Angular Speed and Acceleration Using Sin-Cos Encoders.

Sensors (Basel, Switzerland)·2021
Same author

Clinical pilot study to evaluate the neovaginal PACIENA prosthesis® for vaginoplasty without skin grafts in women with vaginal agenesis.

BMC women's health·2019
Same author

Low-Cost FPGA-Based Electronic Control Unit for Vehicle Control Systems.

Sensors (Basel, Switzerland)·2019

Related Experiment Video

Updated: Dec 3, 2025

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.4K

Low-Cost Road-Surface Classification System Based on Self-Organizing Maps.

Ignacio Sánchez Andrades1,2, Juan J Castillo Aguilar1, Juan M Velasco García1

  • 1Department of Mechanical Engineering, University of Málaga, 29071 Málaga, Spain.

Sensors (Basel, Switzerland)
|October 29, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a low-cost method using tyre vibration analysis and machine learning to classify road surfaces, enhancing driver assistance systems and vehicle safety. The self-organizing map algorithm achieved 88.54% efficiency in real-world tests.

Keywords:
automobile systemsdata acquisitionmachine learningsurface estimationvibrations

More Related Videos

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.5K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.4K

Related Experiment Videos

Last Updated: Dec 3, 2025

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.4K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.5K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.4K

Area of Science:

  • Automotive Engineering
  • Machine Learning
  • Signal Processing

Background:

  • Driver-assistance systems require advanced perception for safety and autonomy.
  • Accurate road surface estimation is crucial for optimizing vehicular safety systems.
  • Current solutions often face cost limitations.

Purpose of the Study:

  • To propose a low-cost algorithm for continuous and precise road surface estimation.
  • To enhance the performance and autonomous decision-making capabilities of driver-assistance systems.
  • To reduce accident incidence through improved road surface classification.

Main Methods:

  • Analysis of vibrations generated by tyre-rolling movement.
  • Application of machine learning techniques for signal analysis.
  • Utilizing a self-organizing map (SOM) algorithm for surface classification and estimation.

Main Results:

  • A model was generated using real vibration recordings from six different road surfaces.
  • The proposed SOM-based model achieved an efficiency of 88.54%.
  • Performance and execution speed were compared favorably against other classifiers.

Conclusions:

  • The developed low-cost approach effectively classifies road surfaces using tyre-generated vibrations.
  • This method offers a viable solution for enhancing vehicular safety systems without significant cost increases.
  • The machine learning-based classification demonstrates high efficiency and practical applicability.