Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yisak Debele"'
Publikováno v:
Drones, Vol 8, Iss 5, p 182 (2024)
This paper presents a vision-based adaptive tracking and landing method for multirotor Unmanned Aerial Vehicles (UAVs), designed for safe recovery amid propulsion system failures that reduce maneuverability and responsiveness. The method addresses ch
Externí odkaz:
https://doaj.org/article/8de8706f5f144cd082324c3e2fef942a
Publikováno v:
Aerospace, Vol 10, Iss 12, p 1023 (2023)
In various applications, the extended Kalman filter (EKF) has been vital in estimating a vehicle’s translational and angular motion in 3-dimensional (3D) space. It is also essential for the fusion of data from multiple sensors. However, for the EKF
Externí odkaz:
https://doaj.org/article/b5a8aaf19a064f38a0082e5ee13579a6
Publikováno v:
Drones, Vol 7, Iss 7, p 437 (2023)
This article presents a novel approach for detecting and isolating faulty actuators in highly redundant Multirotor UAVs using cascaded Deep Neural Network (DNN) models. The proposed Fault Detection and Isolation (FDI) framework combines Long Short-Te
Externí odkaz:
https://doaj.org/article/66a854a1357546f8bf0812b087912bb4
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6781 (2022)
Presently, multirotor unmanned aerial vehicles (UAV) are utilized in numerous applications. Their design governs the system’s controllability and operation performance by influencing the achievable forces and moments produced. However, unexpected c
Externí odkaz:
https://doaj.org/article/4ffa33f0d3a74059bc605c189fac5645
Publikováno v:
Sensors, Vol 21, Iss 16, p 5475 (2021)
The use of unmanned aerial vehicle (UAV) applications has grown rapidly over the past decade with the introduction of low-cost microelectromechanical system (MEMS)-based sensors that measure angular velocity, gravity, and magnetic field, which are im
Externí odkaz:
https://doaj.org/article/da0f943bc9f34dffa88f757caa0f2626
Publikováno v:
Drones; Volume 7; Issue 7; Pages: 437
This article presents a novel approach for detecting and isolating faulty actuators in highly redundant Multirotor UAVs using cascaded Deep Neural Network (DNN) models. The proposed Fault Detection and Isolation (FDI) framework combines Long Short-Te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4c4a90a5db6009b47bf83a0c36ecefac