Principle for the validation of a driving support using a computer vision-based driver modelization on a simulator

Baptiste Rouzier, Toshiyuki Murakami

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper presents a new structure for a driving support designed to compensate for the problems caused by the behaviour of the driver without causing a feeling of unease. This assistance is based on a shared control between the human and an automatic support that computes and applies an assisting torque on the steering wheel. This torque is computed from a representation of the hazards encountered on the road by virtual potentials. However, the equilibrium between the relative influences of the human and the support on the steering wheel are difficult to find and depend upon the situation. This is why this driving support includes a modelization of the driver based on an analysis of several face features using a computer vision algorithm. The goal is to determine whether the driver is drowsy or whether he is paying attention to some specific points in order to adapt the strength of the support. The accuracy of the measurements made on the face features is estimated, and the interest of the proposal as well as the concepts raised by such assistance are studied through simulations.

Original languageEnglish
JournalInternational Journal of Advanced Robotic Systems
Volume12
DOIs
Publication statusPublished - 2015 Jul 29

Fingerprint

Computer vision
Wheels
Torque
Simulators
Hazards

Keywords

  • Driving assistance
  • Driving simulator
  • Facial features analysis
  • Steer-by-Wire
  • Virtual force field

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Science Applications

Cite this

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