The objective of the RADIUS proposal is to develop a drone – based technology to: (1) Monitor the physical status and electronic functionality of both non safety – critical and safety - critical railway signalling assets (2) Execute specific maintenance activities. RADIUS will focus on: (1) The identification of the best drone technology to be used in the railway sector, considering mainly the signalling assets to be monitored, the characteristics of the lines, the maintenance actions to be implemented and the distances to be covered (2) The design a/o the utilization of drone solution and related payloads capabilities to integrate: a. Sensors, data collection and processing capabilities to allow the monitoring of signalling assets b. Wireless technology to be used to provide a secure communication channel between the drone and the peripheral device, and to allow contactless diagnostic and SW maintenance c. Use of EGNSS solutions for navigation and positioning, such as GALILEO and EGNOS (SBAS), enabling improved drone flight control and safe movements in the complex railways operational scenario d. The most secure data transmission solution to guarantee reliable and secure data exchanges, and embedded data analytics to perform assets monitoring, maintenance prediction analysis, and repairing actions avoiding railway track possession (3) The adaptation a/o redesign of the railway signalling assets to become drone – friendly for the maintenance activities, including the design of a docking station (4) The interaction with existing Intelligent Asset Management Systems (5) The interaction with current Traffic Management Systems, to improve the safe movements of drones within the railway (6) The planning of drone mission strategies in compliance with applicable regulations and with the complexity of the railway environment to fly Beyond Visual Line Of Sight (7) The practical demonstration of a proof of concept (TRL 6) system in a railway relevant environment.

SURVEIRON is an innovative solution for the protection of urban environments and critical infrastructures that provides those in charge of public and private security with an intelligent surveillance service, allowing them to take optimal security decisions. SURVEIRON constitutes a powerful tool not only for the prevention of disasters but also for their management. In both cases, SURVEIRON makes it possible to make the most secure decisions possible. Thanks to this system, those in charge of coordinating security will be able to minimise the risks currently taken due to a scarcity of available information, which in general is provided solely by security cameras (where these exist or control the area to be protected) and telephone calls. Such gaps in the information available cause serious security problems. The project is based in a set of intelligent robots embedded inside a fleet of unmanned aerial vehicles (UAVs). This fleet is deployed in fixed and mobile locations and supervised from an emergency command center. Once an alarm is notified, the system sends one or more UAVs to the emergency area avoiding any obstacle in their way. Once there, SURVEIRON starts scanning the environment with different detection technologies. All the data obtained is sent to the control center and represented in a 3D environment for an easy interpretation and evaluation of the current events in real time. As an example, in a fire emergency, SURVEIRON will provide the actual status of the infrastructure affected and the total amount of energy generated by the fire. With this information, the system is capable of measuring the volume of fire extinguisher needed to suffocate the fire and the amount of personnel that have to be mobilized to participate in the fire-fighting tasks. It will also scan for people in the surrounding area that might need evacuation or assistance. All this information will be displayed in the command center.

The overall goal of ROCSAFE is to fundamentally change how CBRNe events are assessed, in order to and ensure the safety of crime scene investigators by reducing the need for them to enter high-risk scenes when they have to determine the nature of threats and gather forensics. For this, ROCSAFE will make use of cost-effective modern remotely-controlled robotic air and ground vehicles (RAVs/RGVs) that are designed for use in rain, wind, and challenging ground surfaces and obstacles. First, RAVs will assess the scene. These will have cameras and can carry an array of innovative new high-performance and rugged miniaturised sensor systems for RN, chemical and biological threats. To reduce the scene commander’s cognitive load, ROCSAFE will include new Central Decision Management software and a Command Centre. All images and data will be streamed to this, where it will be analysed and displayed on a sophisticated and intuitive interface with maps and video, showing results of analytics and giving readings geographical context. This will enable the scene commander to assess the nature of threats, develop an Action Plan and an Evidence Plan, supported as needed by the Central Decision Management. It will also assist in coordinating sensors and mobile units. Its data analytics will provide fusion of multiple sensor data sources, to allow probabilistic reasoning about the most likely threats and likely locations of epicentres. After the scene is assessed, RGVs will be dispatched to collect forensic material/evidence, with automatically-optimised routes to avoid hazards. They will have innovative new equipment for forensics collection that will automate best practices. Forensic material will be collected, bagged, tagged, documented, and stored by the RGV. Thus, ROCSAFE will ensure that CBRNe scenes are assessed more rapidly and thoroughly than is currently possible, and that forensic evidence is collected in a manner that stands up in court, without putting personnel at risk.

SURVEIRON is an innovative solution for the protection of urban environments and critical infrastructures that provides those in charge of public and private security with an intelligent surveillance and decision making service in critical situations. SURVEIRON constitutes a powerful tool for the prevention and management of potential disasters. Those in charge of coordinating security will be able to minimise the risks currently taken due to a scarcity of available information, which in general is provided solely by security cameras and telephone calls. Such gaps in the information available cause serious security problems. The project is based in a set of AEORUMs intelligent robots embedded inside a fleet of unmanned aerial vehicles (UAVs). This fleet is deployed in fixed and mobile locations and supervised from an emergency command center. When an alarm is notified, the system sends one or more UAVs to the emergency area avoiding any obstacle in their way. Once there, SURVEIRON starts scanning and analyzing automatically the environment with different AEORUM detection technologies. All identified risks are sent to the control center and represented in a 3D environment for an easy evaluation of human operators in real time. The system will also recommend action plans with AEORUM’s decision making technologies based on artificial intelligence. As an example, in a fire emergency or an earthquake, SURVEIRON will provide (with AEORUM’s ENVIRONMENT ANALYSIS TOOLS) the total amount of energy in calories generated by the fire, the cracks in the buildings, the amount of people in danger, toxic gas leaks and the status of the infrastructures affected. Moreover the system is capable of recommending (with AEORUM’s DECISION TOOLS) the volume of fire extinguisher and the amount of firetrucks needed, a building evacuation order list, a toxic gas map or the amount of healthcare personnel to be mobilized . All this information will be displayed in the command center.