Road Surface Scanning using Stereo Cameras for Motorcycles
Joerg Deigmoeller, Nils Einecke, Oliver Fuchs, Herbert Janssen
2018
Abstract
Active and semi-active suspension systems for vehicles became quite popular in the recent years as they allow for a smoother and safer ride compared to conventional suspension systems. The performance of an active/semi-active suspension system can be even more improved if the road condition in front of the vehicle is known. Currently only a few luxury cars combine fully active suspension with stereo cameras for such a predictive adaptation. However, we are not aware of any existing system for motorcycles. In this work, we present an algorithm that can cope with the rolling movement of a motorcycle. In addition, it can robustly reconstruct the road profile within a single time step and does not require temporal integration which allows real-time processing up to very high speeds at a precision in the order of millimeters. The complete system has been successfully tested on a German highway and a precise road laser scan has been used for evaluation.
DownloadPaper Citation
in Harvard Style
Deigmoeller J., Einecke N., Fuchs O. and Janssen H. (2018). Road Surface Scanning using Stereo Cameras for Motorcycles. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 549-554. DOI: 10.5220/0006614805490554
in Bibtex Style
@conference{visapp18,
author={Joerg Deigmoeller and Nils Einecke and Oliver Fuchs and Herbert Janssen},
title={Road Surface Scanning using Stereo Cameras for Motorcycles},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP},
year={2018},
pages={549-554},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006614805490554},
isbn={978-989-758-290-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP
TI - Road Surface Scanning using Stereo Cameras for Motorcycles
SN - 978-989-758-290-5
AU - Deigmoeller J.
AU - Einecke N.
AU - Fuchs O.
AU - Janssen H.
PY - 2018
SP - 549
EP - 554
DO - 10.5220/0006614805490554
PB - SciTePress