Real-Time HW and Human-in-the-Loop Simulations for the Validation of Detect and Avoid Advanced Functionalities in ATM Future Scenarios

The full integration of Remotely Piloted Aircraft Systems (RPAS) in non-segregated airspace is one of the major objectives for the worldwide aviation organizations and authorities. However, there are several technological and regulatory issues due to the increase of the air traffic in the next years and to the need of keeping high safety levels. In this framework, a real-time validation environment capable to simulate complex scenarios related to future air traffic management (ATM) conditions is of paramount importance. These facilities allow detailed testing and tuning of new technologies and procedures before executing flight tests. With such motivations, the Italian Aerospace Research Centre has developed the Integrated Simulation Facility (ISF) able to accurately reproduce ATM complex scenarios in real-time with hardware and human in-the-loop simulations, aiming to validate new ATM procedures and innovative system prototypes for RPAS and General Aviation aircraft. In the present work, the ISF facility has been used for reproducing relevant ATM scenarios to validate the functionalities of a Detect and Avoid system (DAA). The results of the ISF test campaign demonstrate the effectiveness of the developed algorithm in the autonomous resolution of mid-air collisions in presence of both air traffic and fixed obstacles (i.e. bad weather areas, no-fly-zone and terrain) and during critical flight phases, thus exceeding the current DAA state-of-the-art.

[1]  Filippo Tomasello,et al.  Perspective and ATM Impact of Detect And Avoid Integration in Tactical and MALE RPAS , 2018 .

[2]  David R. Maroney,et al.  UAS Sense and Avoid Development - the Challenges of Technology, Standards, and Certification , 2012 .

[3]  Youmin Zhang,et al.  Sense and avoid technologies with applications to unmanned aircraft systems: Review and prospects , 2015 .

[4]  Scott A. Smolka,et al.  A survey on unmanned aerial vehicle collision avoidance systems , 2015, ArXiv.

[5]  F. Corraro,et al.  A Multi-Intruder Robust Collision Avoidance System for Integration of Unmanned Vehicles in Civil Transport , 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

[6]  Federico Corraro,et al.  Advanced Functions for Lowering Nuisance Alerts in a DAA System: Implementation and Performance Evaluation in Real-Time Human-in-the-Loop Testing , 2019, 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC).

[7]  Nicola Genito,et al.  Integrated Simulation Facility for Interoperability Operation , 2014, MESAS.

[8]  Ettore De Lellis,et al.  Evaluating RPAS Integration with General Aviation Traffic by means of Real-Time Human-in-the-Loop Simulations , 2019 .

[9]  G. Cuciniello,et al.  Real time optimal path generation with mission and vehicle maneuvering constraints , 2017, 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS).

[10]  Yannick Jestin,et al.  An introduction to ACAS Xu and the challenges ahead , 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).

[11]  Maria Consiglio,et al.  DAIDALUS: Detect and avoid alerting logic for unmanned systems , 2015, 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC).

[12]  Federico Corraro,et al.  Performance Verification of an Enhanced Traffic Alerting System for RPAS Integration in ATM , 2018 .

[13]  Ettore De Lellis,et al.  Flight Tests of ADS-B Traffic Advisory System (ATAS) and Performance Comparison with Other Surveillance Systems , 2018 .