The steadily increasing amount of air transportation in the field of manned and unmanned aviation, as well as new requirements induced by technological innovations cause more and more complex avionic system developments. One of the most important safety requirements in aviation is the avoid-ance of mid-air collisions. In order to minimize such dramatic events, commercial manned aircraft are equipped with the “Traffic Alert and Collision Avoidance System (TCAS)”to support the pilots of both endangered aircraft by traffic advisories. In the booming field of unmanned aviation, collision avoidance needs to be autonomous, which will achieved by complex “Sense and Avoid” systems. Com-bining information from multiple detection sensors to minimize information uncertainties and neglect the disadvantages of each sensor as a single system is the base for an operational S&A system for Unmanned Aerial Vehicles (UAVs). The aircraft will use existing traffic instruments such as a tran-sponder for the reception of automatic dependent surveillance – broadcast (ADS-B) data from other aircraft, TCAS and additional electro-optic and radar-based sensors to compensate the lack of an on-board pilot. All this data can be used in a logical composition to provide the UAV a better situational awareness of the airspace and to avoid an intruding aircraft in case of emergency. To support the development of a “Sense and Avoid” system, the company Airbus Defence and Space is developing a dedicated simulation environment. It simulates collision scenarios between aircrafts to integrate, verify and validate the system under development. At this point the mathematical models of the sensors need to be integrated in the simulation environment in order to increase the degree of realism. As a contribution for further completion of the system, this master thesis is concerned with the integration of the existing models, implementation and improvement of missing models, visualization of this system to the PIC and the presentation to Airbus D&S’s ...


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    Title :

    Integration, impementation and validation of a simulation environment of a UAV Sense and Avoid System


    Contributors:

    Publication date :

    2016-01-01


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    620 / 629



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