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Recording and evaluating road conditions with the aid of reflection spectroscopy – the development of a kinematic platform solution <<

Akronym RoadInspect
Funding Bundesministerium für Bildung und Forschung (BMBF)
Request for Proposal Forschung an Fachhochschulen mit Unternehmen 2013
Supporting Organisation Projektträger Jülich
HFT project director Prof. Dr.-Ing.  Michael Hahn
Project Staff M.Sc. Alvand Miraliakbari
Project partners Polytec GmbH, TopScan GmbH, Praxl und Partner GmbH, Technische Universität Dresden
Duration 01.07.2013 - 30.06.2016
Project description The aim of this project is to develop and experimentally validate an automated road inspection technique based on reflection spectroscopy. The planned solution takes the form of a hyperspectral sensor system mounted on an inertial platform (GNNS/IMU) and integrated into a measuring vehicle. The training and evaluation regions required for classification purposes will be measured using spectrometers in static mode and also examined locally by expert inspectors. The solution will analyze spectral signatures in order to identify characteristics that are particularly well suited to the classification of road conditions. Participating researchers intend to help pave the way for the efficient, rapid recording and evaluation of road conditions in the future. Thanks to technological developments in the field of GPS/INS platforms, it is now possible to equip multi-sensor measuring vehicles with reasonably priced spectrometers. Knowledge on the precise location of specific road conditions is the key to predictive road maintenance, which will in turn enable road management agencies to optimize and plan their investment in road maintenance work.