This report describes the IEIIT-CNR contributions to the EnviRadar Project. This project refers to the development of new detection/localization and data fusion algorithms that will be added to the new EnviRadar product from the industrial partner Cognimade Srl. These new algorithms include data-fusion, machine learning, and signal processing methods for radar-based devices for a new line of products of the EnviSense series. These new radar-based devices and boards, with the help of other ambient sensors, will widen the range of applications of the EnviSense family with novel applications for smart spaces (SS), smart cities (SC), assisted living (AL) and human-robot collaboration (HRC) scenarios. The capabilities of the new radar-based devices and processing methods will be addressed by exploiting an example of human-robot collaboration for industrial applications in a shared industrial workplace scenario.
Enviradar Project Report
S Savazzi;S Kianoush;V Rampa
2021
Abstract
This report describes the IEIIT-CNR contributions to the EnviRadar Project. This project refers to the development of new detection/localization and data fusion algorithms that will be added to the new EnviRadar product from the industrial partner Cognimade Srl. These new algorithms include data-fusion, machine learning, and signal processing methods for radar-based devices for a new line of products of the EnviSense series. These new radar-based devices and boards, with the help of other ambient sensors, will widen the range of applications of the EnviSense family with novel applications for smart spaces (SS), smart cities (SC), assisted living (AL) and human-robot collaboration (HRC) scenarios. The capabilities of the new radar-based devices and processing methods will be addressed by exploiting an example of human-robot collaboration for industrial applications in a shared industrial workplace scenario.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
