| Full text | |
| Author(s): |
Arantes, Jesimar da Silva
;
Arantes, Marcio da Silva
;
Motta Toledo, Claudio Fabian
;
Trindade Junior, Onofre
;
Williams, Brian C.
;
ACM
Total Authors: 6
|
| Document type: | Journal article |
| Source: | PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'17); v. N/A, p. 8-pg., 2017-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 13/26091-2 - The study and proposition of methods for the general Chance-Constrained qualitative state planning problem |
| Grantee: | Claudio Fabiano Motta Toledo |
| Support Opportunities: | Scholarships abroad - Research |
| FAPESP's process: | 14/11331-0 - Hybrid qualitative state plan and mission planning problem with UAVs |
| Grantee: | Márcio da Silva Arantes |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 15/23182-2 - Autonomous system for mission control and flight safety in UAVs |
| Grantee: | Jesimar da Silva Arantes |
| Support Opportunities: | Scholarships in Brazil - Doctorate |