SOTAVerified

State Estimation

Papers

Showing 150 of 1067 papers

TitleStatusHype
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual OdometryCode7
HDVIO2.0: Wind and Disturbance Estimation with Hybrid Dynamics VIOCode5
R^3LIVE++: A Robust, Real-time, Radiance reconstruction package with a tightly-coupled LiDAR-Inertial-Visual state EstimatorCode4
Adaptive Probabilistic ODE Solvers Without Adaptive Memory RequirementsCode2
Masked Visual Pre-training for Motor ControlCode2
Volumetric Environment Representation for Vision-Language NavigationCode2
R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping packageCode2
Outlier-robust Kalman Filtering through Generalised BayesCode2
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor GraphsCode2
PaLM-E: An Embodied Multimodal Language ModelCode2
Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line CorrespondencesCode1
Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM NetworkCode1
Learning to Explore using Active Neural SLAMCode1
Model-free Vehicle Tracking and State Estimation in Point Cloud SequencesCode1
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known DynamicsCode1
Learning from Label Relationships in Human AffectCode1
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization ApproachCode1
Extracting the fundamental diagram from aerial footageCode1
Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT NavigationCode1
Differentiable Particle Filters: End-to-End Learning with Algorithmic PriorsCode1
Exact Modeling of Non-Gaussian Measurement Uncertainty in Distribution System State EstimationCode1
GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture ModelsCode1
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimationCode1
Inertial-Based LQG Control: A New Look at Inverted Pendulum StabilizationCode1
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and MappingCode1
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization LayersCode1
Learning neural state-space models: do we need a state estimator?Code1
Learning Object Manipulation Skills via Approximate State Estimation from Real VideosCode1
Adaptive KalmanNet: Data-Driven Kalman Filter with Fast AdaptationCode1
Enhanced Laser-Scan Matching with Online Error Estimation for Highway and Tunnel DrivingCode1
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar ImageryCode1
Data-Efficient Collaborative Decentralized Thermal-Inertial OdometryCode1
Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence ApproachCode1
C codegen considered unnecessary: go directly to binary, do not pass C. Compilation of Julia code for deployment in model-based engineeringCode1
Deep Ensemble Learning-based Approach to Real-time Power System State EstimationCode1
A New Framework for Nonlinear Kalman FiltersCode1
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged LocomotionCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
Deep Statistical Solver for Distribution System State EstimationCode1
Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural NetworksCode1
Dynamical Wasserstein Barycenters for Time-series ModelingCode1
AirSim Drone Racing LabCode1
A Digital Twin of an Electrical Distribution Grid: SoCal 28-Bus DatasetCode1
Faster than FAST: GPU-Accelerated Frontend for High-Speed VIOCode1
An information field theory approach to Bayesian state and parameter estimation in dynamical systemsCode1
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics LearningCode1
How to Train Your Differentiable FilterCode1
Incremental Visual-Inertial 3D Mesh Generation with Structural RegularitiesCode1
A framework for constrained static state estimation in unbalanced distribution networksCode1
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