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Road Surface Scanning using Stereo Cameras for Motorcycles

Jörg Deigmöller, Herbert Janßen, Nils Einecke, Oliver Fuchs, "Road Surface Scanning using Stereo Cameras for Motorcycles", Proceedings of the 14th International Conference on Computer Vision Theory and Applications, 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. We are not aware of any existing system for motorcycles. In this work, we present an algorithm that can cope with rolling of the motorcycle. In addition, it can robustly reconstruct the road within a single time step and does not require temporal integration which allows realtime 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 at maximum speeds of 200km/h as well as in night and rain conditions. A precise road laser scan of a highway section has been used for evaluation.



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