The AIDERS project aims at developing application-specific algorithms and novel mapping platform that will harness the large volume of data that first responders are now able to collect through heterogeneous sensors (including visual, thermal and multispectral cameras, LIDAR, CBRN sensors, etc.) on-board RPAS units, and converting that data into actionable decisions for improved emergency response.
I contributed to the project by implementing computer vision and deep learning algorithms to detect and visualize the exact gps location of moving targets into the platform. Introducing video is in Greek.
You can find more information on the project’s website.