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In-Flight Tests of Intruder Detection Vision System.

Paweł Rzucidło1, Grzegorz Jaromi2, Tomasz Kapuściński3

  • 1Department of Avionics and Control, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powst. Warszawy 8, 35-959 Rzeszów, Poland.

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The Intruder Detection And collision Avoidance System (IDAAS) project demonstrates a vision system for detecting aerial intruders. Initial tests show potential for effective detection, though challenging conditions exist.

Keywords:
aircraftairplaneairspacein-flight testsintruder detectionvision system

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Area of Science:

  • Aerospace Engineering
  • Computer Vision
  • Avionics Systems

Background:

  • Increasing integration of manned and unmanned aerial vehicles (UAVs) in shared airspace presents new safety challenges.
  • Light aircraft, ultralight aircraft, and UAVs require advanced collision avoidance systems.
  • The IDAAS project aims to address these challenges with innovative detection and avoidance technologies.

Purpose of the Study:

  • To present research and practical tests of the intruder detection vision system developed within the IDAAS project.
  • To discuss the formal requirements for aircraft anti-collision systems.
  • To detail the IDAAS system concept and its image processing algorithms.

Main Methods:

  • Development of a vision-based intruder detection system (IDAAS).
  • Implementation of image processing algorithms for threat identification.
  • Conducting dedicated flight tests using an ultralight aircraft.

Main Results:

  • Initial flight tests indicate the feasibility of using vision methods for intruder detection.
  • The system demonstrated potential for effective detection in various airspace scenarios.
  • Certain environmental conditions were identified as potentially hindering detection performance.

Conclusions:

  • The IDAAS vision system shows promise for enhancing airspace safety for light and unmanned aerial vehicles.
  • Further research is needed to address limitations and improve detection reliability under difficult conditions.
  • The system contributes to the development of advanced collision avoidance solutions for the evolving aviation landscape.