Visual Longitudinal and Lateral Driving Assistance in the Head-Up Display of Cars

Authors:
Marcus Tonnis;Christian Lange;Gudrun Klinker
Affiliations:
Technische Universität München, Fakultät für Informatik, Boltzmannstraβe 3, 85748 Garching b. München, Germany. Tel/Fax: +49 89 289 17083 /-17059, e-mail: toennis@in. ...;Technische Universität München, Fakultät für Maschinenwesen, Boltzmannstraβe 15, 85747 Garching b. München, Germany. Tel/Fax: +49 89 289 15428 /-15389, e-mail: lange@ ...;Technische Universität München, Fakultät für Informatik, Boltzmannstraβe 3, 85748 Garching b. München, Germany. Tel/Fax: +49 89 289 18215 /-17059, e-mail: klinker@in. ...
Venue:
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Year:
2007

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Abstract

Most car accidents occur due to longitudinal collisions or lane departure. We assume that the number of such accidents can be reduced, if the driver knows more precisely, where the car is heading and at which distance it can stop. To provide drivers with this kind of anticipation, we have developed two Augmented Reality based visualization schemes for longitudinal and lateral driver assistance in the Head-Up Display (HUD) of cars. One presentation scheme indicates the braking distance by a virtual bar on the road. The second scheme adds the visualization of a drive-path between the car and the bar, zoning the entire region that the car will pass before coming to a complete halt. We have tested both schemes in a driving simulator in comparison to a baseline without visual assistance. Our results show, among other findings, that the bar is preferred, that it supports driving performance and that it does not increase mental workload.