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State Estimation

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TitleStatusHype
Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts—0
Distributed Resilient State Estimation and Control with Strategically Implemented Security Measures—0
Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design—0
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy—0
Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation—0
Bayesian Knowledge Transfer for a Kalman Fixed-Lag Interval Smoother—0
Observer Switching Strategy for Enhanced State Estimation in CSTR Networks—0
ROSA: Harnessing Robot States for Vision-Language and Action Alignment—0
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method—0
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation—0
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications—0
Harvest and Jam: Optimal Self-Sustainable Jamming Attacks against Remote State Estimation—0
Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States—0
Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty QuantificationCode1
Conformal Safety Shielding for Imperfect-Perception Agents—0
The Invariant Zonotopic Set-Membership Filter for State Estimation on Groups—0
The Geometry of Extended Kalman Filters on Manifolds with Affine Connection—0
Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control—0
Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems—0
Recursive Privacy-Preserving Estimation Over Markov Fading Channels—0
Sensor Fusion Methods for Gaussian Mixture Models—0
Aspects of density approximation by tensor trains—0
MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation—0
Active Learning-Enhanced Dual Control for Angle-Only Initial Relative Orbit Determination—0
An Autocovariance Least-Squares-Based Data-Driven Kalman Filter for Unknown Systems—0
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