UAV Onboard Hotspot Detection using a Lightweight Thermal Camera and Embedded System

Taypicahuana Loza E.A.; Zelada Rodriguez J.A.; Miranda Gil A.D.; Nieto A.C.; Huaman Bustamante S.G. · Proceedings of the 2024 IEEE 31st International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2024 (2024) · DOI: 10.1109/intercon63140.2024.10833502

Resumen

The analysis of a hotspot is a critical issue in mitigating natural disasters such as forest fires and volcanic eruptions. UAVs can be used to monitor a hotspot using manual navigation. However, there is a risk to operators during the natural disaster. In this research, a navigation algorithm is developed to strategically position itself over a hotspot. In the experimental results, the automatic navigation of the drone has a maximum error of 1.7 m with respect to the hotspot and has a duration of 30 s-. This automated approach not only improves the safety of UA Voperators, but also provides an accurate method for positioning over a hot spot, paving the way for applications in automated surveillance and disaster response systems.

Instituciones: Universidad Nacional de Ingeniería