JOANNEUM RESEARCH Forschungsgesellschaft mbH - DIGITAL – Institute for Information and Communication Technologies

The role of JRD includes creating a digital twin of transport infrastructure. This includes data acquisition and the derivation of geometric map information (modelling and localization of data). Technologies used include a mobile mapping system, photogrammetric 3D reconstruction and machine learning.

JRD has many years of experience in the field of functional data acquisition of infrastructure, as well as in data management and the semi-automatic derivation of usable information such as 3D models, identified objects and topological connections.

The focus in TARO is on automated evaluation of raw sensor data. JRD has extensive expertise in artificial intelligence (AI) methods and already provides various solutions (e.g. for industrial surface assessment).

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JR is an business-oriented innovation and technology provider that has been doing cutting-edge research at an international level for more than thirty years. With a focus on applied research and technology development, it plays a key role in technology and knowledge transfer in Styria. JR has numerous participations in large industrial projects as well as many years of experience as a partner and coordinator of national programs and in all EU framework programs.

As a partner in the FFG innovation laboratory for highly automated driving in Styria (Alp.Lab), JR covers the task of high-precision mapping of road infrastructure for the purpose of evaluation of automated driving functions. Currently, over 400km of roadway has been digitally recorded, processed and is available in the form of a geodatabase.

JR has extensive laboratory infrastructure in the field of recording and evaluating traffic infrastructure. A high-precision mobile mapping system (Leica Pegasus 2) is available in the HAF-laboratory (highly automated driving), which forms the backbone of mobile data acquisition. The system is completed by two roof-mounted sensor systems, which represent cost-effective options for data acquisition and map updates, as well as a high-precision inertial navigation system (IMU). The laboratory has sufficient storage space (in the range of terabytes) and computer capacity to enable automated evaluation of geodata. The software infrastructure includes state-of-the-art tools for manual data evaluation, as well as experimental software tools.