DRL-UTPS: DRL-based trajectory planning for unmanned aerial vehicles for data collection in dynamic IoT network

R Liu, Z Qu, G Huang, M Dong, T Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Using highly maneuverable Unmanned Aerial Vehicles (UAV) to collect data is a fast and
efficient method that is widely studied. In most studies, they assume that the UAVs can …

Coverage path planning with semantic segmentation for UAV in PV plants

A Pérez-González, N Benítez-Montoya… - Applied Sciences, 2021 - mdpi.com
Solar energy is one of the most strategic energy sources for the world's economic
development. This has caused the number of solar photovoltaic plants to increase around …

State of Charge Estimation for 18650 Lithium-Ion Batteries: A Comparative Analysis Using Technical Specifications from Three Leading Manufacturers

W Khiati, AE Habchi, I Zerrouk, M Aissi… - … Conference on Digital …, 2024 - Springer
This paper addresses the crucial challenge of optimizing battery management for electric
Unmanned Aerial Vehicles (UAVs), with a specific focus on 18650 lithium-ion (Li-Ion) …

[引用][C] Coverage Path Planning with Unmanned Aerial Vehicles over Photovoltaic Plants using Image Analysis

AF Pérez González - 2022 - Grupo de Manejo Eficiente de la …