Current GNSS-inclinable surveying pole systems rely on magnetometer sensors. The use of these types of sensor implies performance degradation when operating near magnetic fields. The invention provides a new approach to ranging pole systems, able to provide requested performance even when working near magnetic fields.
- Autonomous Sensing and Localization Cover Helmet for Emergencies Communications (SaC)
SaC is designed to be used as a regular, non-obtrusive cover for helmets, equipped with the latest positioning and communication technologies to bring their wearers the latest innovations on on-the-road security. Thanks to the GNSS, accelerometer and gyroscope technologies embedded in SaC, not only the position of the user will be tracked continuously, but also the dynamics of the movement will be constantly captured; this, combined with the use of a researchlevel logic will allow for the automatic detection of anomalous – and potentially dangerous – situations as crashes or falls.
- C-AQM: A Crowdsourced Air Quality Monitoring System
Due to its high impact over the public health, air pollution is becoming one of the main threats for urban societies. Besides the laws and efforts to reduce the pollutants emissions, technicians and administrators are working hard to develop alert systems aiming to protect the more vulnerable citizens during high pollution episodes. Here, we propose the Crowdsourced Air Quality Monitoring (C-AQM) system, which has been designed to generate high-resolution air quality maps using data from crowdsourced sensors, reference stations and Copernicus. The operation of the C-AQM system is briefly described as follows. Each user or data provider of C-AQM will install an AirCrowd device on his/her vehicle. The AirCrowd device (an energy efficient device) collects measurements from its sensors and transmits the data to the Cloud through the LPWA radio interface and once. The data is then stored and processed. All data collected from multiple AirCrowd devices is stored in a MySQL database, which also includes information provided by reference stations and Copernicus. The processing algorithms include machine learning techniques for calibration of sensed data as well as complex navigation algorithms for proper georeferencing of those data sets.
- PSIG Software
The software includes a suite of data processing and analysis tools, which are needed to carry out interferometric SAR (Synthetic Aperture Radar) studies. The main goal of such studies is the monitoring of the deformation of land, structures, and infrastructures. The PSIG software works with different types of SAR data, including C-band (ERS-1/2, Envisat, Sentinel-1A/B), X-band (TerraSAR-X, CosmoSkyMed) and L-band (ALOS) data. The PSIG software is the result of more than 15 years of research and development of the Remote Sensing Department.
- Active Reflector
The technology is an Active Reflector operating at 5.405 GHz ± 40 MHz band, to be used in support to the spaceborne ESA Sentinel-1 SAR images analysis and processing, or other radar sensors working in the same band. An Active Reflectors provides a persistent and bright response, like a “good target” (“Persistent Scatter”), which results in a strong amplitude and a good phase to be exploited for deformation monitoring purposes. The system was designed aiming at achieving a tradeoff among low-cost, simple functioning, easy and rugged hardware, which must be deployed also in sites where difficult installations are required.