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Traffic Awareness Driver Assistance based on Stereovision, Eye-tracking, and Head-Up Display

Tobias Langner, Daniel Seifert, Bennet Fischer, Daniel Goehring, Tinosch Ganjineh, and Raúl Rojas – 2016

This paper presents a system which constantly monitors the level of attention of a driver in traffic. The vehicle is instrumented and can identify the state of traffic-lights, as well as obstacles on the road. If the driver is inattentive and fails to recognize a threat, the assistance system produces a warning. Therefore, the system helps the driver to focus on crucial traffic situations. Our system consists of three components: computer vision detection of traffic-lights and other traffic participants, an eye tracking device used also for head localization, and finally, a human machine interface consisting of a head-up display and an acoustic module used to provide warnings to the driver. The orientation of the driver's head is detected using fiducial markers visible in video frames. We describe how the system was integrated using an autonomous car as experimental ADAS platform.

Titel
Traffic Awareness Driver Assistance based on Stereovision, Eye-tracking, and Head-Up Display
Verfasser
Tobias Langner, Daniel Seifert, Bennet Fischer, Daniel Goehring, Tinosch Ganjineh, and Raúl Rojas
Verlag
IEEE Xplore
Schlagwörter
traffic awareness, stereovision, eye-tracking, head-up display
Datum
2016-05
Kennung
DOI:10.1109/ICRA.2016.7487485; ISBN: 978-1-4673-8025-6
Quelle/n
Erschienen in
Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, May 16-21, 2016.
Größe oder Länge
3167 - 3173
Rechte
Copyright by IEEE. When citing this work cite the original link.