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 language | English |
|---|---|
| Journal | International Journal of Advanced Robotic Systems |
| Volume | 12 |
| DOIs | |
| Publication status | Published - 2015 Jul 29 |
Fingerprint
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
Principle for the validation of a driving support using a computer vision-based driver modelization on a simulator. / Rouzier, Baptiste; Murakami, Toshiyuki.
In: International Journal of Advanced Robotic Systems, Vol. 12, 29.07.2015.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Principle for the validation of a driving support using a computer vision-based driver modelization on a simulator
AU - Rouzier, Baptiste
AU - Murakami, Toshiyuki
PY - 2015/7/29
Y1 - 2015/7/29
N2 - 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.
AB - 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.
KW - Driving assistance
KW - Driving simulator
KW - Facial features analysis
KW - Steer-by-Wire
KW - Virtual force field
UR - http://www.scopus.com/inward/record.url?scp=84938517185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84938517185&partnerID=8YFLogxK
U2 - 10.5772/60831
DO - 10.5772/60831
M3 - Article
AN - SCOPUS:84938517185
VL - 12
JO - International Journal of Advanced Robotic Systems
JF - International Journal of Advanced Robotic Systems
SN - 1729-8806
ER -