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

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

You might also read

Related Articles

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

Sort by
Same author

Sensors for Road Vehicles of the Future.

Sensors (Basel, Switzerland)·2023
Same author

Perception, Positioning and Decision-Making Algorithms Adaptation for an Autonomous Valet Parking System Based on Infrastructure Reference Points Using One Single LiDAR.

Sensors (Basel, Switzerland)·2022
Same author

Inferring the Driver's Lane Change Intention through LiDAR-Based Environment Analysis Using Convolutional Neural Networks.

Sensors (Basel, Switzerland)·2021
Same author

Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications.

Sensors (Basel, Switzerland)·2020
Same author

Perception Sensors for Road Applications.

Sensors (Basel, Switzerland)·2019
Same author

Implementation of a Potential Field-Based Decision-Making Algorithm on Autonomous Vehicles for Driving in Complex Environments.

Sensors (Basel, Switzerland)·2019
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: Jul 1, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.5K

Feature Papers in Vehicular Sensing.

Felipe Jiménez1

  • 1Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid, 28031 Madrid, Spain.

Sensors (Basel, Switzerland)
|May 13, 2023
PubMed
Summary
This summary is machine-generated.

This Special Issue highlights advancements in vehicular sensing technologies. It features research from leading experts, driving innovation in intelligent transportation systems.

More Related Videos

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

4.5K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K

Related Experiment Videos

Last Updated: Jul 1, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.5K
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

4.5K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K

Area of Science:

  • Vehicular Sensing
  • Intelligent Transportation Systems
  • Sensor Technology

Background:

  • This Special Issue compiles cutting-edge research from Editorial Board Members of the Vehicular Sensing Section and distinguished scholars.
  • It addresses the growing need for sophisticated sensing solutions in modern vehicles.
  • The collection focuses on the latest developments and challenges in the field of vehicular sensing.

Discussion:

  • The papers explore diverse applications of vehicular sensing, including autonomous driving, traffic management, and driver behavior analysis.
  • Discussions cover sensor fusion, data processing, and the integration of artificial intelligence in vehicular systems.
  • Challenges related to real-world deployment, data security, and standardization are also addressed.

Key Insights:

  • Key insights reveal significant progress in developing robust and reliable vehicular sensing technologies.
  • The importance of multi-modal sensor integration for enhanced perception and decision-making is emphasized.
  • Emerging trends in edge computing and low-power sensing for vehicular applications are highlighted.

Outlook:

  • Future research directions include the development of next-generation sensors with improved accuracy and efficiency.
  • The outlook suggests a continued integration of vehicular sensing with broader intelligent transportation infrastructure.
  • Advancements are expected to accelerate the realization of safer, more efficient, and sustainable mobility solutions.