| Texto completo | |
| Autor(es): |
Arantes, Jesimar da Silva
;
Arantes, Marcio da Silva
;
Motta Toledo, Claudio Fabian
;
Trindade Junior, Onofre
;
Williams, Brian C.
;
ACM
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'17); v. N/A, p. 8-pg., 2017-01-01. |
| Resumo | |
The present paper describes an embedded system architecture, based on genetic algorithms, aiming safety mission execution by Unmanned Aerial Vehicles (UAVs). A two-dimensional non-convex environment is considered since obstacle avoidance happens. The embedded system integrates the Mission Oriented Sensor Array (MOSA) and In-Flight Awareness (IFA) systems, where MOSA is responsible for mission accomplishment and IFA stands for flight safety. The features of MOSA and IFA are combined under a platform that applies promising genetic algorithm approaches from literature to reach their goals. First, the genetic algorithms performance running from the embedded system is compared against their performance on a personal computer architecture. Next, the proposed system is evaluated in a real-world scenario using Software In-The-Loop (SITL) technique. The computational results showed that the embedded system provides reliable results. (AU) | |
| Processo FAPESP: | 13/26091-2 - Estudo e proposição de métodos para o general Chance-Constrained Qualitative state planning problem |
| Beneficiário: | Claudio Fabiano Motta Toledo |
| Modalidade de apoio: | Bolsas no Exterior - Pesquisa |
| Processo FAPESP: | 14/11331-0 - Hybrid qualitative state plan problem e o planejamento de missão com VANTs |
| Beneficiário: | Márcio da Silva Arantes |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 15/23182-2 - Sistema autônomo para supervisão de missão e segurança de voo em VANTs |
| Beneficiário: | Jesimar da Silva Arantes |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |