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State Estimation

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Showing 351–400 of 1067 papers

TitleStatusHype
Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems—0
Deep Learning Based Forecasting-Aided State Estimation in Active Distribution Networks—0
Deep Reinforcement Learning-Enabled Adaptive Forecasting-Aided State Estimation in Distribution Systems with Multi-Source Multi-Rate Data—0
MISAR: A Multimodal Instructional System with Augmented RealityCode0
Exact nonlinear state estimationCode0
Multi-Sensor Multi-Scan Radar Sensing of Multiple Extended TargetsCode0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
Vulnerability Analysis of Nonlinear Control Systems to Stealthy False Data Injection Attacks—0
Extended Kalman Filter State Estimation for Autonomous Competition RobotsCode0
Physics-Informed Neural Networks for Accelerating Power System State Estimation—0
Parallel-in-Time Probabilistic Numerical ODE SolversCode0
UniQuadric: A SLAM Backend for Unknown Rigid Object 3D Tracking and Light-Weight Modeling—0
Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting—0
Perception for Humanoid Robots—0
Target Controllability and Target Observability of Structured Network SystemsCode0
Track-before-detect Algorithm based on Cost-reference Particle Filter Bank for Weak Target Detection—0
Resilient State Estimation for Nonlinear Discrete-Time Systems via Input and State Interval Observer Synthesis—0
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation—0
Accurate and Interactive Visual-Inertial Sensor Calibration with Next-Best-View and Next-Best-Trajectory SuggestionCode1
Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning—0
A Framework on Fully Distributed State Estimation and Cooperative Stabilization of LTI Plants—0
Offline and Online Use of Interval and Set-Based Approaches for Control and State Estimation: A Selection of Methodological Approaches and Their Application—0
Harnessing Kernel Regression for Stochastic State Estimation in Solar-Integrated Power Grids—0
Outlier-Insensitive Kalman Filtering: Theory and ApplicationsCode0
Exploration into Optimal State Estimation with Event-triggered Communication—0
Unified Linearization-based Nonlinear Filtering—0
Adaptive KalmanNet: Data-Driven Kalman Filter with Fast AdaptationCode1
A Note on the Extended Kalman Filter on a Manifold—0
Model-based traffic state estimation for link traffic using moving cameras—0
Grid-based Hybrid 3DMA GNSS and Terrestrial Positioning—0
Real-Time Kinematics-Based Sensor-Fault Detection for Autonomous Vehicles Using Single and Double Transport with Adaptive Numerical Differentiation—0
Secure Set-Based State Estimation for Linear Systems under Adversarial Attacks on SensorsCode0
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions—0
Separable Self and Mixed Attention Transformers for Efficient Object TrackingCode1
A Lie-Theoretic Approach to Propagating Uncertainty Jointly in Attitude and Angular Momentum—0
Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman FilterCode1
Joint vehicle state and parameters estimation via Twin-in-the-Loop observers—0
BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking—0
Data-Driven Safety Filter: An Input-Output Perspective—0
Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems—0
Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM NetworkCode1
Precision Enhancement of Distribution System State Estimation via Tri-Objective Micro Phasor Measurement Unit Deployment—0
Robust Control Barrier Functions for Safe Control Under Uncertainty Using Extended State Observer and Output Measurement—0
Incorporating Nonlocal Traffic Flow Model in Physics-informed Neural Networks—0
Remote State Estimation with Privacy Against Active Eavesdroppers—0
Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multi-Source, Heterogeneous, and Isomeric Disturbances—0
Real-Time Numerical Differentiation of Sampled Data Using Adaptive Input and State Estimation—0
Adaptive Noise Covariance Estimation under Colored Noise using Dynamic Expectation Maximization—0
A Lightweight Sensor Scheduler Based on AoI Function for Remote State Estimation over Lossy Wireless Channels—0
A Compressive Sensing Based Method for Harmonic State Estimation—0
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