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Reach-U R&D projects
Archimedes applied research in smart specialisation growth areas (NUTIKAS)
Reach-U is participating with TalTech in "Applied research for creating a cost-effective interchangeable 3D spatial data infrastructure with survey-grade accuracy" project from 01.04.2019-01.04.2021 With more than a decade the spatial content market overall background has not been changed. The majority of data management is still connected with orthophoto base layer that is being used for data generating, verification and usability. At the same time the need for digital data amount, accuracy and details has increased several times. Project is financed by the European Regional Development Fund with 2 376 000 euros. The current research main target is to impact the whole spatial data management process by producing the next level 3D spatial base data layer and integrating it with widely used existing spatial databases. To be able to look the process as a whole the research will include the full process of the spatial data management - from the data generation to the spatial data infrastructure platform. One of the key elements is to understand the effect of implementing AI based automated information detection in every process to reduce the costs and maximize the efficiency and therefore reduce the time spent on data generation process 
Archimedes applied research in smart specialisation growth areas (NUTIKAS)
Reach-U is participating with TalTech in "Applied research for creating a cost-effective interchangeable 3D spatial data infrastructure with survey-grade accuracy" project from 01.04.2019-01.04.2021 With more than a decade the spatial content market overall background has not been changed. The majority of data management is still connected with orthophoto base layer that is being used for data generating, verification and usability. At the same time the need for digital data amount, accuracy and details has increased several times. Project is financed by the European Regional Development Fund with 2 376 000 euros. The current research main target is to impact the whole spatial data management process by producing the next level 3D spatial base data layer and integrating it with widely used existing spatial databases. To be able to look the process as a whole the research will include the full process of the spatial data management - from the data generation to the spatial data infrastructure platform. One of the key elements is to understand the effect of implementing AI based automated information detection in every process to reduce the costs and maximize the efficiency and therefore reduce the time spent on data generation process
The aim of the project is to help companies develop competitive products through active collaboration with universities. The program includes 22 industry-led R&D projects in a range of fields. The Competence Centre Project is financed by the European Regional Development Fund with 6 996 700 euros.
Our main task is to develop a methodology to collect with vehicle-based cameras and lidars 2D and 3D data about urban and road situations, used by local authorities, road utilities companies, real estate management, etc. The resulting system shall provide generic situation estimation and also measurement of nearby objects like road width, distance of buildings from road, bridge height, road surface defects.
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