Kalman Filters
PulseAugur coverage of Kalman Filters — every cluster mentioning Kalman Filters across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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新型自适应卡尔曼滤波器可提高通信中断期间的无人机状态估计能力
研究人员开发了一种新型自适应卡尔曼滤波器，即 N-Deep Recurrent Sage-Husa Filter (NDR-SHKF)，旨在提高无人机 (UAV) 的状态估计能力。该先进滤波器用一个由分层循环网络管理的学习记忆衰减策略取代了传统方法的静态遗忘因子。NDR-SHKF 的架构区分了短期传感器异常和长期动态趋势，从而在遥测中断和不同噪声条件下实现更鲁棒的性能。在模拟混沌吸引子和真实无人机飞行数据上的评估表明，其性能优于现有的…
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Hybrid LSTM model leads in NBA player movement forecasting
Researchers have explored various neural network architectures for dynamic movement forecasting, particularly in the context of NBA player trajectories. Traditional methods like Kalman filters struggle with the non-line…
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PiGGO framework enhances virtual sensing for nonlinear dynamic structures
Researchers have developed PiGGO, a novel framework that combines physics-informed graph neural networks with Kalman filters for enhanced state estimation in complex nonlinear systems. This approach addresses challenges…