Quadratic-Kalman-filter-based sensor fault detection approach for unmanned aerial vehicles
Sensors are crucial for the control of unmanned aerial vehicles (UAVs). However, sensor
faults will inevitably appear over time. Therefore, it is important to develop a sensor fault …
faults will inevitably appear over time. Therefore, it is important to develop a sensor fault …
Ensemble transfer learning based cross-domain UAV actuator fault detection
D Liu, N Wang, K Guo, B Wang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The actuator is critical for controlling the unmanned aerial vehicle (UAV) attitude. With the
development of sensing technology, the convenience of collecting high-quality data by …
development of sensing technology, the convenience of collecting high-quality data by …
Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective
Y Chen, Y Jiao, M Wu, H Ma, Z Lu - Sensors, 2023 - mdpi.com
Group target tracking (GTT) is a promising approach for countering unmanned aerial
vehicles (UAVs). However, the complex distribution and high mobility of UAV swarms may …
vehicles (UAVs). However, the complex distribution and high mobility of UAV swarms may …
A deep learning model based on transformer structure for radar tracking of maneuvering targets
The motion complexity of maneuvering target causes the estimation uncertainty of target
motion model, resulting in state estimation error. Especially for strong maneuvering target …
motion model, resulting in state estimation error. Especially for strong maneuvering target …
A novel movable UWB localization system using UAVs
Recently, interest in ultrawideband (UWB)-based localization systems has increased in
various application fields. However, since UWB anchors are usually fixed, they work only …
various application fields. However, since UWB anchors are usually fixed, they work only …
Deep learning aided state estimation for guarded semi-markov switching systems with soft constraints
Q Fu, K Lu, C Sun - IEEE Transactions on Signal Processing, 2023 - ieeexplore.ieee.org
This article investigates the problem of state estimation for guarded semi-Markov switching
systems with soft constraints. We first construct the switching system in a multiple model …
systems with soft constraints. We first construct the switching system in a multiple model …
融合深度学习的贝叶斯滤波综述
张文安， 林安迪， 杨旭升， 俞立， 杨小牛 - 自动化学报, 2024 - aas.net.cn
当前动态系统呈现大型化, 复杂化的趋势, 基于贝叶斯滤波的动态系统状态估计遇到了一系列新
的挑战. 随着深度学习在特征提取与模式识别等方面的优势与潜力不断显现 …
的挑战. 随着深度学习在特征提取与模式识别等方面的优势与潜力不断显现 …
Multi-modal biometric authentication: Leveraging shared layer architectures for enhanced security
Y Govindarajan, VPA Ganesan, D Ramesh - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we introduce a novel multi-modal biometric authentication system that
integrates facial, vocal, and signature data to enhance security measures. Utilizing a …
integrates facial, vocal, and signature data to enhance security measures. Utilizing a …
A Novel Transformer-Aided Multiple Model Algorithm for Maneuvering Target Tracking
In the domain of maneuvering target tracking, conventional algorithms frequently utilize
multiple predefined mathematical models to approximate target motion. Nonetheless, the …
multiple predefined mathematical models to approximate target motion. Nonetheless, the …
[HTML][HTML] Addressing the Return Visit Challenge in Autonomous Flying Ad Hoc Networks Linked to a Central Station
Unmanned Aerial Vehicles (UAVs) have become essential tools across various sectors due
to their versatility and advanced capabilities in autonomy, perception, and networking …
to their versatility and advanced capabilities in autonomy, perception, and networking …