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Road condition acquisition and assessment are the key to guarantee their permanent availability. In order to maintain a country's whole road network, millions of high-resolution images have to be analyzed annually. Currently, this requires cost and time excessive manual labor. We aim to automate this process to a high degree by applying deep neural networks. Such networks need a lot of data to be trained successfully, which are not publicly available at the moment. In this paper, we present the GAPs dataset, which is the first freely available pavement distress dataset of a size, large enough to train high-performing deep neural networks. It provides high quality images, recorded by a standardized process fulfilling German federal regulations, and detailed distress annotations. For the first time, this enables a fair comparison of research in this field. Furthermore, we present a first evaluation of the state of the art in pavement distress detection and an analysis of the effectiveness of state of the art regularization techniques on this dataset.
The Netherlands is on the way to change its existing skid resistance measuring method for its highway network from the Dutch RAW 72, a longitudinal force method, to the Sideway Force method. This method is described in the Technical Specification 15901-8 (SKM device) as well as 15901-6 (SCRIM device) and is in use in 9 European countries. The CEN TC 227 WG5 on Surface Characteristics is currently working on combining of these two technical Specifications into a European standard for Sideway-Force (SWF) measurement devices. The idea of this change in the Netherlands was perceived in 2013 and since then a lot of meetings have been held with the different Dutch decision makers as well as with countries which currently operate SWF devices. There was an intensive exchange of knowledge about these devices and their corresponding quality assurance systems, because the Netherlands wanted to incorporate and rely on an existing system of a neighbor country without losing their present level of quality. The Netherlands has therefore decided to incorporate the German SKM approach. The network monitoring with the new system will start in 2017. To ensure the quality of skid resistance measurements and further cooperation in this field, it has been decided to initiate an alliance between BASt and the Dutch road owner Rijkswaterstaat (RWS). This alliance will facilitate an exchange of research activities, calibration of the Dutch systems according to the existing German Standard as well as control measurements with a BASt-device on the Dutch network during the network monitoring. During 2016 also comparative measurements will be performed on a network level with the current Dutch device and with an SKM device to determine a conversion between the two and to be able to define new threshold values.