Authors:
Joerg Deigmoeller
1
;
Nils Einecke
1
;
Oliver Fuchs
2
and
Herbert Janssen
3
Affiliations:
1
Honda Research Institute Europe GmbH, Germany
;
2
Honda R&D Europe (Germany) GmbH, Germany
;
3
Honda Research Institute Europe, Germany
Keyword(s):
Stereo, Depth Estimation, Plane Fitting, Road Surface Reconstruction, Motorcycle, Suspension Adaptation.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Mobile Imaging
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Software Engineering
;
Stereo Vision and Structure from Motion
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.