[EN] The number of civil and military applications for Unmanned Aircraft (UA) is increasing in the last years, such firefighters, search-and-rescue missions or package delivery, among others. Due to their ability of performing a large variety of important tasks with higher manoeuvrability, longer endurance and less risk to human lives, small UA are particularly suitable to cope with all that. But to carry out these tasks, it is mandatory to guarantee a safe performance and a correct integration into non-segregated airspace. Integrating unmanned aircraft into civil airspace requires the development and certification of systems for sensing and avoiding other aircraft. Because such systems are typically very complex and a high-level of safety must be maintained, rigorous analysis is required before they can be certified for operational use. Thus, to accomplish with that purpose, an effective Sense and Avoid (SAA) system has to be implemented. In accordance with agreements reached at SAA Workshops where US Federal Aviation Administration (FAA) and Defense Agency discussed these issues, a proper system needs to supply two services: self-separation and collision avoidance service. Both cooperative and non-cooperative sensors are key enablers for UA to meet these services. In particular, non-cooperative Collision Detection and Resolution (CD&R) for UA is considered as one of the major challenges to be addressed. Arroyo Izquierdo, P. (2019). Evaluation of Non-Cooperative Sensors for Sense and Avoid in UAV Systems. Universitat Politècnica de València. http://hdl.handle.net/10251/131583 TFGM