Article citationsMore>>

da Silva Arantes, J., da Silva Arantes, M., Fabiano Motta Toledo, C., Trindade Jr., O. and Williams, B.C. (2017) An Embedded System Architecture Based on Genetic Algorithms for Mission and Safety Planning with UAV. Proceedings of the Genetic and Evolutionary Computation Conference, Berlin, July 2017, 10491056.
https://doi.org/10.1145/3071178.3071302

has been cited by the following article:

• TITLE: Unmanned Aerial Vehicles Flight Safety Improvement Using In-Flight Awareness

  AUTHORS: André L. P. Mattei, Engenharia S. A. Orbital, Claudio F. M. Toledo, Jesimar da Silva Arantes, Onofre Trindade Jr.

  KEYWORDS: Unmanned Aerial Vehicles, Air Safety, Systems-Theoretic Process Analysis, In-Flight Awareness

  JOURNAL NAME: Intelligent Information Management, Vol.13 No.2, March 8, 2021

  ABSTRACT: This paper presents a novel onboard system called In-Flight Awareness Augmentation System (IFA2S) to improve flight safety. IFA2S is designed to semi-automatically (with human supervision) avoid hazards and accidents due to either internal or external causal factors. The requirements were defined in an innovative way using Systems-Theoretic Process Analysis (STPA) method and applied next to model the system. IFA2S increases aircraft awareness regarding both itself and its environment and, at the same time, recognizes platform and operational constraints to act in accordance to predefined decision algorithms. Results are presented through simulations and flight tests using state machines designed to allow the adoption of appropriate actions for the identified hazards. The different decision algorithms are evaluated over as many as possible hazard situations by simulations conducted with software Labview and XPlane flight simulator. Flight tests are performed in a small fixed wing aircraft and make use of a limited version IFA2S, partially attending identified requirements. Results support the conclusion that IFA2S is capable of improving flight safety.