UAS collision avoidance system: multi-sensor tracking results

  • Authors:
  • Lidia Forlenza;Giancarmine Fasano;Domenico Accardo;Antonio Moccia

  • Affiliations:
  • University of Naples "Federico II", Naples, Italy;University of Naples "Federico II", Naples, Italy;University of Naples "Federico II", Naples, Italy;University of Naples "Federico II", Naples, Italy

  • Venue:
  • Proceedings of the 1st International Conference on Application and Theory of Automation in Command and Control Systems
  • Year:
  • 2011

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Abstract

In the framework of a project to integrate autonomous Sense and Avoid capabilities onboard Unmanned Aerial Systems, an integrated Radar and Electro-Optical sensors solution has been adopted in order to fulfill the situational awareness requirement, demanded by the US Federal Aviation Administration for integrating Unmanned Aerial Systems in the civil airspace. In particular, the sensors architecture is hierarchical: radar is the main sensor, whilst Electro-Optical cameras have an auxiliary role. This paper focuses on the developed data fusion algorithm and the evaluation of its performance on the basis of flight tests data. Results demonstrate that radar/Electro-Optical fusion enables a significant improvement in tracking accuracy especially in terms of azimuth and elevation angles, and their time derivatives.