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State Estimation

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Showing 976–1000 of 1067 papers

TitleStatusHype
A Surrogate Data Assimilation Model for the Estimation of Dynamical System in a Limited Area—0
A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation—0
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation—0
A Theory of Uncertainty Variables for State Estimation and Inference—0
A Track-Before-Detect Approach to Multi-Target Tracking on Automotive Radar Sensor Data—0
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding—0
Attack-Resilient State Estimation with Intermittent Data Authentication—0
A fast tunable blurring algorithm for scattered data—0
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing—0
A unified approach for multi-object triangulation, tracking and camera calibration—0
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation—0
Autonomous Aerial Robot for High-Speed Search and Intercept Applications—0
Autonomous Asteroid Characterization Through Nanosatellite Swarming—0
Autonomous Crosslink Radionavigation for a Lunar CubeSat Mission—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
A Variational Bayes Moving Horizon Estimation Adaptive Filter with Guaranteed Stability—0
A WLAV-based Robust Hybrid State Estimation using Circuit-theoretic Approach—0
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs—0
Barrier Certificate based Safe Control for LiDAR-based Systems under Sensor Faults and Attacks—0
BAYESIAN COMPRESSED DEEP LEARNING FOR STATE ESTIMATION OF UNOBSERVABLE POWER SYSTEMS—0
Bayesian Estimation of Graph Signals—0
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC—0
Bayesian Knowledge Transfer for a Kalman Fixed-Lag Interval Smoother—0
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation—0
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning—0
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