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Related Experiment Video

Updated: May 13, 2026

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

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

Published on: December 18, 2020

Autonomous manoeuvring systems for collision avoidance on single carriageway roads.

Felipe Jiménez¹, José Eugenio Naranjo, Oscar Gómez

¹University Institute for Automobile Research (INSIA), Technical University of Madrid, 28040 Madrid, Spain. felipe.jimenez@upm.es

Sensors (Basel, Switzerland)

|February 28, 2013

Summary

This study introduces an advanced forward collision warning system using laser scanners and vehicle-to-vehicle communication. The system enhances automotive safety by detecting dangers and enabling proactive maneuvers or alerts.

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Last Updated: May 13, 2026

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

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

Published on: December 18, 2020

Area of Science:

Automotive Engineering
Robotics
Computer Vision

Background:

Vehicle perception systems are crucial for automotive safety but face challenges in industrialization.
Integrating communication systems enhances perception system capabilities via wireless data transmission.
Existing systems require continuous improvement for widespread adoption in mass-produced vehicles.

Purpose of the Study:

To develop and evaluate a forward collision warning system utilizing laser scanner technology.
To enhance automotive safety through improved environmental perception and decision-making algorithms.
To enable vehicle-to-vehicle (V2V) communication for shared environmental awareness.

Main Methods:

Implementation of a laser scanner for comprehensive environmental perception.
Development of decision algorithms to assess obstacles, speeds, and road geometry.
Integration of vehicle-to-vehicle communication protocols for data dissemination.
Testing the system in simulated overtaking scenarios under diverse conditions.

Main Results:

The system successfully detected multiple potential danger situations.
Decision algorithms accurately determined appropriate maneuvers based on environmental data.
The system demonstrated the capability to actuate ego-vehicle controls and transmit warnings to other vehicles.
Successful validation in overtaking scenarios confirmed system efficacy.

Conclusions:

The presented laser scanner-based forward collision warning system is effective in identifying and responding to hazardous situations.
The integration of V2V communication significantly expands the safety potential of perception systems.
The system shows promise for improving automotive safety and preventing collisions, particularly during complex maneuvers.