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State Estimation
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Distributed Resilient State Estimation and Control with Strategically Implemented Security Measures
Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation
Bayesian Knowledge Transfer for a Kalman Fixed-Lag Interval Smoother
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method
ROSA: Harnessing Robot States for Vision-Language and Action Alignment
Observer Switching Strategy for Enhanced State Estimation in CSTR Networks
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
Harvest and Jam: Optimal Self-Sustainable Jamming Attacks against Remote State Estimation
Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States
Conformal Safety Shielding for Imperfect-Perception Agents
The Invariant Zonotopic Set-Membership Filter for State Estimation on Groups
The Geometry of Extended Kalman Filters on Manifolds with Affine Connection
Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control
Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems
Recursive Privacy-Preserving Estimation Over Markov Fading Channels
Sensor Fusion Methods for Gaussian Mixture Models
Aspects of density approximation by tensor trains
Active Learning-Enhanced Dual Control for Angle-Only Initial Relative Orbit Determination
MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation
An Autocovariance Least-Squares-Based Data-Driven Kalman Filter for Unknown Systems
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking
Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
The Quadrature Gaussian Sum Filter and Smoother for Wiener Systems
A Novel Online Pseudospectral Method for Approximation of Nonlinear Systems Dynamics
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking
Beyond Static Perception: Integrating Temporal Context into VLMs for Cloth Folding
Secure Safety Filter Design for Sampled-data Nonlinear Systems under Sensor Spoofing Attacks
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems
Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT Navigation
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