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

38
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...
38
PD Controller: Design01:26

PD Controller: Design

183
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
183

You might also read

Related Articles

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

Sort by
Same author

Design of an RRAM-Based Joint Model for Embedded Cellular Smartphone Self-Charging Device.

Micromachines·2025
Same author

InjectMeAI-Software Module of an Autonomous Injection Humanoid.

Sensors (Basel, Switzerland)·2022
Same author

Modeling and Fault Detection of Brushless Direct Current Motor by Deep Learning Sensor Data Fusion.

Sensors (Basel, Switzerland)·2022
Same author

A Manycore Vision Processor for Real-Time Smart Cameras.

Sensors (Basel, Switzerland)·2021
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
Same journal

Three-Dimensional Modeling and Performance Analysis of Dynamic mmWave V2I Networks Based on Stochastic Geometry.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 3, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K

Road Traffic Gesture Autonomous Integrity Monitoring Using Fuzzy Logic.

Kwame Owusu Ampadu1, Michael Huebner1

  • 1Computer Engineering, Brandenburg University of Technology, Cottbus-Senftenberg, 03046 Cottbus, Germany.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
Summary
This summary is machine-generated.

Autonomous vehicles can now communicate with human drivers at intersections using a new in-vehicle traffic light system. This fuzzy logic-based solution enhances safety and efficiency for all road users.

Keywords:
Advanced Driver Assistance System (ADAS)autonomous vehiclesextended blind-spot detectionfuzzy logicgesture recognitionin-vehicle traffic light

More Related Videos

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.4K

Related Experiment Videos

Last Updated: Jun 3, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.4K

Area of Science:

  • Intelligent Transportation Systems
  • Autonomous Driving Technology
  • Fuzzy Logic Applications

Background:

  • Unsignalized intersections pose challenges for autonomous vehicles (AVs) due to reliance on human gestural communication.
  • Existing communication methods are incompatible with AVs, creating safety and efficiency concerns.
  • A need exists for a communication system that bridges AVs and human drivers at intersections.

Purpose of the Study:

  • To develop and evaluate a novel in-vehicle traffic light system for AV-human driver communication.
  • To ensure backward compatibility with traditional vehicles without internet or cloud dependency.
  • To improve traffic flow and safety at four-legged unsignalized intersections.

Main Methods:

  • Implementation of a fuzzy logic-based system on a self-organizing network of eight ESP32 microcontrollers.
  • Integration of GPS sensors and light-emitting diodes (LEDs) for vehicle positioning and signaling.
  • Utilization of the ESPNow broadcast feature for direct vehicle-to-vehicle communication, eliminating the need for internet services.

Main Results:

  • Simulations demonstrated successful communication between AVs and human drivers at intersections.
  • The system achieved precise position classification and lane dispersion under 30 seconds.
  • The developed system proved to be a cost-effective solution for enhancing intersection safety.

Conclusions:

  • The fuzzy logic-based in-vehicle traffic light system effectively facilitates communication between autonomous and traditional vehicles.
  • The system's design ensures backward compatibility and operational independence from cloud platforms.
  • This technology offers a promising, low-cost solution for improving traffic management and safety at complex intersections.