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State Estimation

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Showing 101–150 of 1067 papers

TitleStatusHype
Bayesian Knowledge Transfer for a Kalman Fixed-Lag Interval Smoother—0
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method—0
ROSA: Harnessing Robot States for Vision-Language and Action Alignment—0
Observer Switching Strategy for Enhanced State Estimation in CSTR Networks—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
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
Active Learning-Enhanced Dual Control for Angle-Only Initial Relative Orbit Determination—0
MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation—0
An Autocovariance Least-Squares-Based Data-Driven Kalman Filter for Unknown Systems—0
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking—0
Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and ChallengesCode0
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge TransferCode0
The Quadrature Gaussian Sum Filter and Smoother for Wiener Systems—0
A Novel Online Pseudospectral Method for Approximation of Nonlinear Systems Dynamics—0
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking—0
Beyond Static Perception: Integrating Temporal Context into VLMs for Cloth Folding—0
Secure Safety Filter Design for Sampled-data Nonlinear Systems under Sensor Spoofing AttacksCode0
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems—0
Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects—0
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles—0
R^3-VQA: "Read the Room" by Video Social Reasoning—0
Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning—0
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications—0
Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models—0
Rate-Limited Closed-Loop Distributed ISAC Systems: An Autoencoder Approach—0
Remote Estimation over Packet-Dropping Wireless Channels with Partial State Information—0
Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling—0
Floating Car Observers in Intelligent Transportation Systems: Detection Modeling and Temporal Insights—0
XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical Search—0
Periodic Proprioceptive Stimuli Learning and Internal Model Development for Avian-inspired Flapping-wing Flight State Estimation—0
Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension—0
Multiple Target Tracking Using a UAV Swarm in Maritime Environments—0
Online model learning with data-assimilated reservoir computers—0
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation—0
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows—0
Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel—0
Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine—0
Spike-Kal: A Spiking Neuron Network Assisted Kalman Filter—0
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open WorldCode0
Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations—0
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