- Fig. 1 – Graphical User Interface that shows the range-Doppler map of the acquired data, the relative detection map and the images representing the range-Doppler crop of the area of interest and the result after autofocusing and cross-range scaling algorithms
- Fig. 2 – Results after cross-range scaling algorithm
The SUNNY project aims to contribute to European Border Surveillance System (EUROSUR) by defining a new tool for collecting real-time information in operational scenarios. SUNNY represents a step beyond existing research projects due to the following main features:
- A two-tier intelligent heterogeneous UAV sensor network will be considered in order to provide both large field and focused surveillance capabilities, where the first-tier sensors, carried by medium altitude, long endurance autonomous UAVs, are used to patrol large border areas to detect suspicious targets and provide global situation awareness. Fed with the information collected by the first sensor, the second-tier sensors will be deployed to provide more focused surveillance capability by tracking the targets and collecting further evidence for more accurate target recognition and threat evaluation. Novel algorithms will be developed to analyse the data collected by the sensors for robust and accurate target identification and event detection.
- Novel sensors and on-board processing generation, integrated on UAV system, will be focus on low weight, low cost, high resolution that can operate under variable conditions such and darkness, snow and rain. In particular, SUNNY will develop sensor that generate both RGB image, near infrared (NIR) image and hyperspectral image and that use radar information to detect, discriminate and track objects of interest inside complex environment, over land and sea. Alloying to couple sensor processing and preliminary detection results (on-board) with local UAV control, leading to innovate active sensing techniques, replacing low level sensor data communication by higher abstraction level of information communication.
The SUNNY project has been articulated on ten WPs:
- WP1: User requirements
- WP2: System specification and architecture
- WP3: Innovative sensing
- WP4: Data processing, analysis and visualization
- WP5: Adapted communication and data link
- WP6: Integration and evaluation
- WP7: Demonstration
- WP8: Dissemination, exploitation and take-up
- WP9: Technical and quality management
WP10: Project management