Application of a visualization environment for the mission performance evaluation of civilian UAS

  • E. FokinaEmail author
  • J. Feger
  • M. Hornung
Original Paper


Future unmanned aerial vehicle applications require the development of new advanced design environments. To get an effective unmanned aerial system, UAS, solution, it is necessary to take into account all elements of the system, e.g., to bring together aircraft design, payload, communication and other elements into one multidisciplinary design process. Compared to manned aircraft, an unmanned aerial vehicle, UAV, interacts with the environment through the onboard sensors. Therefore, the sensor and communication performances as well as their implementation in the whole system play an important role in mission fulfillment. To take the interaction with the operational environment into account, this operational environment is simulated during the design and assessment process. Owing to the high resolution and elevation-based terrain data, geometry representation of the UAS elements and its interaction with the environment, the sensor and communication performance is simulated, evaluated and fed back into the aircraft design process. For this, the following data are obtained during the mission simulation for the evaluation: height of the terrain, sensor coverage area, presence of uncovered areas, slant range to the ground or objects of interest, obstacles in line of sight, probability of an object detection and detection of the camera field of view limitations.


UAV Visualization Operational analysis Aircraft design Mission performance analysis 

List of symbols


Area coverage rate


Sensor ground swath width


Object characteristic dimension


Required energy for a mission


Energy-rated area coverage index


Degradation factor


Field of view


Focal length of the camera


Ground sample distance


Horizontal ground sample distance


Vertical ground sample distance


Vertical distance from the sensor installed on the UAV to the ground


Height of the object


Horizontal field of view


Number of horizontal pixels of the camera


Line-of-sight vector of the camera


Number of cycles across the target


Distance between pixels of the camera


Probability of achieving target discrimination task


Slant range


Unmanned aircraft


Unmanned aerial vehicle


Unmanned aerial system


Flight velocity


Vertical field of view


Number of vertical pixels of the camera


Width of the object


Angle between the slant range and the sensor height over the ground


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Copyright information

© Deutsches Zentrum für Luft- und Raumfahrt e.V. 2018

Authors and Affiliations

  1. 1.Institute of Aircraft DesignTechnical University of MunichGarchingGermany

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