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Authors: Joerg Deigmoeller 1 ; Herbert Janssen 2 ; Oliver Fuchs 3 and Julian Eggert 2

Affiliations: 1 Honda Research Institute Europe GmbH, Germany ; 2 Honda Research Institute Europe, Germany ; 3 Honda R&D Europe (Germany), Germany

Keyword(s): Driver Assistance System, Monocular Camera, Optical Flow.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses

Abstract: Conventional rear-view mirrors on motorcycles only allow a limited visibility as they are shaky and cover a small field of view. Especially at high speeds with strong headwind, it is difficult for the rider to turn his head to observe blind spots. To support the rider in observing the rear and blind-spots, a monocular system that indicates approaching vehicles is proposed in this paper. The vision based indication relies on sparse optical flow estimation. In a first step, a rough separation of background and approaching object pixel motion is done in an efficient and computationally cheap way. In a post-processing step, pixel motion information is further checked on geometric meaningful transformations and continuity over time. As a prototype, the system has been mounted on a Honda Pan-European motorcycle plus monitor in the dashboard that shows the rear-view image to the rider. If an approaching object is detected, the rider gets an indication on the monitor. The rearview on the mon itor not only acts as HMI (Human Machine Interface) for the indication, but also significantly extends the visibility compared to mirrors. The algorithm has been extensively evaluated for relative speeds from 20 km/h to 100 km/h (speed differences between motorcycle and approaching vehicle), at normal, rainy and night conditions. Results show that the approach offers a sensing range from 20 m at low speed up to 60 m at night. (More)

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Paper citation in several formats:
Deigmoeller, J.; Janssen, H.; Fuchs, O. and Eggert, J. (2014). Monocular Rear Approach Indicator for Motorcycles. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP; ISBN 978-989-758-009-3; ISSN 2184-4321, SciTePress, pages 474-480. DOI: 10.5220/0004668304740480

@conference{visapp14,
author={Joerg Deigmoeller. and Herbert Janssen. and Oliver Fuchs. and Julian Eggert.},
title={Monocular Rear Approach Indicator for Motorcycles},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP},
year={2014},
pages={474-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004668304740480},
isbn={978-989-758-009-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP
TI - Monocular Rear Approach Indicator for Motorcycles
SN - 978-989-758-009-3
IS - 2184-4321
AU - Deigmoeller, J.
AU - Janssen, H.
AU - Fuchs, O.
AU - Eggert, J.
PY - 2014
SP - 474
EP - 480
DO - 10.5220/0004668304740480
PB - SciTePress