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

  • E. Fokina
  • J. Feger
  • M. Hornung
Original Paper
  • 9 Downloads

Abstract

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.

Keywords

UAV Visualization Operational analysis Aircraft design Mission performance analysis 

List of symbols

ACR

Area coverage rate

b

Sensor ground swath width

dc

Object characteristic dimension

E

Required energy for a mission

EACI

Energy-rated area coverage index

f

Degradation factor

FOV

Field of view

ƒ

Focal length of the camera

GSD

Ground sample distance

GSDH

Horizontal ground sample distance

GSDV

Vertical ground sample distance

h

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

H

Height of the object

HFOV

Horizontal field of view

Hpix

Number of horizontal pixels of the camera

LOS

Line-of-sight vector of the camera

N

Number of cycles across the target

P

Distance between pixels of the camera

P()

Probability of achieving target discrimination task

R

Slant range

UA

Unmanned aircraft

UAV

Unmanned aerial vehicle

UAS

Unmanned aerial system

V

Flight velocity

VFOV

Vertical field of view

Vpix

Number of vertical pixels of the camera

W

Width of the object

θLook

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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