[HTML][HTML] Implementing a Multi-Attribute Decision-Making-Based Approach to Evaluate Small Electric Vertical Takeoff and Landing Fixed-Wing Drones with Mission …
Z Bai, B Zhang, Z Tian, S Zou, W Zhu - Aerospace, 2024 - mdpi.com
Evaluating the mission efficiency of various drone configurations under complex, multi-
source, and multi-dimensional requirements remains a significant challenge. This study …
source, and multi-dimensional requirements remains a significant challenge. This study …
Uncertainty Quantification-Based Switching Control Method for Vision-Based Object Tracking in Unmanned Aerial Vehicles
A Fernández Castaño, C Patton, HJ Yoon… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
Ensuring safe aerial robotics has become paramount with the increasing utilization of UAVs
(Unmanned Aerial Vehicles) in dense urban environments. Machine Learning-based object …
(Unmanned Aerial Vehicles) in dense urban environments. Machine Learning-based object …
An Adaptive Fast Terminal Sliding Mode and ADRC Fusion Control for Quadcopter UAVs
J Che, SK Phang, L Ge - 2023 Innovations in Power and …, 2023 - ieeexplore.ieee.org
This research addresses the complexities through the development of an innovative control
strategy that merges adaptive Fast Terminal Sliding Mode Control with linear Active …
strategy that merges adaptive Fast Terminal Sliding Mode Control with linear Active …
Uncertainty Quantification-Based Switching Control Method for Vision-Based Object Tracking in Unmanned Aerial Vehicles
AF Castaño - 2024 - search.proquest.com
Ensuring safe aerial robotics has become paramount with the increasing utilization of UAVs
(Unmanned Aerial Vehicles) in dense urban environments. Machine Learning-based object …
(Unmanned Aerial Vehicles) in dense urban environments. Machine Learning-based object …