Zobrazeno 1 - 10
of 885
pro vyhledávání: '"Hashim, Hashim A"'
This paper introduces a novel approach to image denoising that leverages the advantages of Generative Adversarial Networks (GANs). Specifically, we propose a model that combines elements of the Pix2Pix model and the Wasserstein GAN (WGAN) with Gradie
Externí odkaz:
http://arxiv.org/abs/2407.11865
Autor:
Shevidi, Arezo, Hashim, Hashim A.
This paper presents a novel quaternion-based nonsingular control system for underactuated vertical-take-off and landing (VTOL) Unmanned Aerial Vehicles (UAVs). Position and attitude tracking is challenging regarding singularity and accuracy. Quaterni
Externí odkaz:
http://arxiv.org/abs/2407.07175
Autor:
Shevidi, Arezo, Hashim, Hashim A.
This paper proposes a novel quaternion-based approach for tracking the translation (position and linear velocity) and rotation (attitude and angular velocity) trajectories of underactuated Unmanned Aerial Vehicles (UAVs). Quadrotor UAVs are challengi
Externí odkaz:
http://arxiv.org/abs/2407.01275
Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations
This paper proposes a novel Reinforcement Learning (RL) approach for sim-to-real policy transfer of Vertical Take-Off and Landing Unmanned Aerial Vehicle (VTOL-UAV). The proposed approach is designed for VTOL-UAV landing on offshore docking stations
Externí odkaz:
http://arxiv.org/abs/2406.00887
In this work, we propose a cascaded scheme of linear Model prediction Control (MPC) based on Control Barrier Functions (CBF) with Dynamic Feedback Linearization (DFL) for Vertical Take-off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs). CBF is a
Externí odkaz:
http://arxiv.org/abs/2404.09320
The need for fully autonomous mobile robots has surged over the past decade, with the imperative of ensuring safe navigation in a dynamic setting emerging as a primary challenge impeding advancements in this domain. In this paper, a Safety Critical M
Externí odkaz:
http://arxiv.org/abs/2404.10018
This research addresses the pressing challenge of enhancing processing times and detection capabilities in Unmanned Aerial Vehicle (UAV)/drone imagery for global wildfire detection, despite limited datasets. Proposing a Segmented Neural Network (SegN
Externí odkaz:
http://arxiv.org/abs/2405.00031
This paper proposes a nonlinear stochastic complementary filter design for inertial navigation that takes advantage of a fusion of Ultra-wideband (UWB) and Inertial Measurement Unit (IMU) technology ensuring semi-global uniform ultimate boundedness (
Externí odkaz:
http://arxiv.org/abs/2308.13393
In this paper, a multi-objective model-following control problem is solved using an observer-based adaptive learning scheme. The overall goal is to regulate the model-following error dynamics along with optimizing the dynamic variables of a process i
Externí odkaz:
http://arxiv.org/abs/2308.09872
Autor:
Hashim, Hashim A., Eltoukhy, Abdelrahman E. E., Vamvoudakis, Kyriakos G., Abouheaf, Mohammed I.
Navigation in Global Positioning Systems (GPS)-denied environments requires robust estimators reliant on fusion of inertial sensors able to estimate rigid-body's orientation, position, and linear velocity. Ultra-wideband (UWB) and Inertial Measuremen
Externí odkaz:
http://arxiv.org/abs/2308.08023