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Mission planning in UAVs with risk of critical failure: a security-based approach

Grant number: 14/12297-0
Support type:Scholarships in Brazil - Master
Effective date (Start): September 01, 2014
Effective date (End): February 29, 2016
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal Investigator:Claudio Fabiano Motta Toledo
Grantee:Jesimar da Silva Arantes
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated research grant:13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID

Abstract

The present document aims to present a dissertation proposal being developed in the master of science program in Computer Science and Computational Mathematics from ICMC/USP. The dissertation will deal with the problem of in-flight route planning for Unmanned Aerial Vehicles (UAVs) in the event of a critical situation. Such a situation may be related to a critical failure in the equipment of the UAV that prevents the continuation of the ongoing mission by aircraft. The theme of the dissertation aims to advance the state of the art considering a new concept called In-Flight Awareness (IFA), which provides situational awareness in UAVs aimed at increasing flight safety. This paper proposes a new approach in the treatment of critical failures during flights by adapting techniques based on evolutionary computing coupled with IFA concept. The main objective is to make the crash-landing of UAVs in cases of emergency, minimizing possible damage. The solutions will be validated in flight simulators and adapted to the models of UAVs Tiriba and Ararinha developed in ICMC/USP. The present project is inserted in a research partnership established with professor Brian Charles Williams of the Massachusetts Institute of Technology (MIT), and it is also linked to FAPESP CEPID, Center for Mathematical Sciences Applied to Industry, coordinated by professor José Alberto Cuminato of ICMC/USP. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ARANTES, MARCIO DA SILVA; MOTTA TOLEDO, CLAUDIO FABIANO; WILLIAMS, BRIAN CHARLES; ONO, MASAHIRO. Collision-Free Encoding for Chance-Constrained Nonconvex Path Planning. IEEE Transactions on Robotics, v. 35, n. 2, p. 433-448, APR 2019. Web of Science Citations: 0.
ARANTES, JESIMAR DA SILVA; ARANTES, MARCIO DA SILVA; MOTTA TOLEDO, CLAUDIO FABIANO; TRINDADE JUNIOR, ONOFRE; WILLIAMS, BRIAN CHARLES. Heuristic and Genetic Algorithm Approaches for UAV Path Planning under Critical Situation. International Journal on Artificial Intelligence Tools, v. 26, n. 1, SI FEB 2017. Web of Science Citations: 13.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
ARANTES, Jesimar da Silva. Route planning for UAVs with risk of critical failure: a security-based approach. 2016. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação São Carlos.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.