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ESRIUM is a multi-national project with the common goal to set up a service to foster greener and smarter road usage, road maintenance, and to increase road safety. The key innovation will be formed by a homogeneous, accurate and recent digital map of road surface damage and road wear. ESRIUM’s core proposition is a data platform, which hosts highly detailed EGNSS-referenced map data of road damage and associated safety risks at centimeter-level resolution. Further addressed as “road wear map”, it will contain unique information, which is of value to multiple stakeholders: road operators will be able to lower the road maintenance effort by optimal planning.
GNSS-Finland Service project will offer signal quality information in multiple frequencies for all four Global constellations, i.e., GPS, Galileo, GLONASS and BeiDou. In addition, it will offer alert messages to Traficom in case of detection of any predefined signal anomalies. Anomalies could be among other things interference on GNSS signal. This project is the successor of the project GNSS-Finland (GNSS Signal Quality Monitoring in Finland - FinSig) that ended in June 2019.
INCUBATE - Indoor navigations from cubesat technology
LEO small satellites are cost-effective which will make it possible to provide PNT services to new user groups that cannot be reached by traditional GNSS services, while creating new types of commercial opportunities. Technology related to small satellites enable creating new business models when development is done together with companies. INCUBATE -project aims to enhance these types of activities. We intend to investigate how PNT (positioning, navigation, and timing) operations based on LEO satellites can be used in indoor environment. In addition, and partly together with companies, we will explore the commercial potential and prospective revenue streams generated by the solution. The satellite signal and its reception has to be optimized for us to be able to determine a sufficient performance of satellite signal for accurate PNT indoor service. In addition, we are developing the utilization of existing small satellites and designing a new satellite, FinnPNTSat, for positioning. We are also developing a new payload, i.e. equipment and software carried by the satellite.
Real-Time AI-Supported Ore Grade Evaluation for Automated
The RAGE project will develop automatic and reliable mineral detection based on AI machine learning based on active hyperspectral 3D sensing, indoor positioning, and real-time AI.
Satellite navigation (GNSS) signals provide accurate and continuous position, navigation, and timing (PNT) services to citizens. These services are necessary to critical infrastructures, such as accurate timing for stock market, electricity transmission, banking and security information systems, reliable positioning for aviation, wireless communications, accurate localization for emergency (112) personnel and logistic chains, and transport.
GNSS signal quality monitoring in Finland (FinSig)
FinSig will use the Finnish National GNSS network ‘FinnRef’ in first-hand monitoring of the status of GNSS signal quality over Finland. A service architecture design will be developed and demonstrated, including a list of hardware, software, inter-modular communication, and system integration needs.
Kaivos - Efficient and safe identification of minerals
Making Finland a global leader of sustainable mineral industry requires continuous improvement of expertise in mining indstry. Mineral extraction industry demands for fast, cost efficient and safe remote sensing methods. The Kaivos Project works on efficient and safe identification of minerals.
The laser spectroscopy project utilizes a supercontinuum laser source.
Pitkän kantaman aktiivinen hyperspektraalinen laserkeilaus (HSLidar)
The hyperspectral lidar (HSL) technology developed at the FGI produces non-contact spectral information in 3D.
Mobile Hyperspectral Laser Remote Sensing (MobiLaser)
The aim of this project is the development of active hyperspectral LiDAR prototype.
New techniques in active remote sensing: hyperspectral laser in environmental change detection
This project brings up novel spectroscopic and radiometric laser scanning methods to be applied in the change detection of the Boreal environment.
Using the intensity information in laser scanning
A standard lidar survey produces a point cloud consisting of the topographic information (e.g., position in x,y,z) and the intensity (I).