| Full text | |
| Author(s): |
Arantes, Jesimar da Silva
;
Arantes, Marcio da Silva
;
Missaglia, Andre Badawi
;
Simoes, Eduardo do Valle
;
Motta Toledo, Claudio Fabiao
;
IEEE
Total Authors: 6
|
| Document type: | Journal article |
| Source: | 2017 IEEE 29TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2017); v. N/A, p. 8-pg., 2017-01-01. |
| Abstract | |
The present paper evaluates some strategies to apply path re-planning algorithms for emergency landing of Unmanned Aerial Vehicles (UAVs). The strategies proposed are based on executing only one path re-planning algorithm or a combination of them using an ensemble approach. The proposed methods are integrated to the security supervision system of the UAV, namely In-Fly Awareness (IFA), where decision-making algorithms are applying after a critical situation happens. The critical situations considered are battery overheating and engine failure. The performance of the proposed strategies for emergency landing is evaluated in a real world scenario using the Software-In-The-Loop (SITL) technique. Computational results reported show that these strategies are promising based on the success rate to land the UAV safely. (AU) | |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | Francisco Louzada Neto |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| 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 |