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State Estimation

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Showing 1001–1050 of 1067 papers

TitleStatusHype
Online Temporal Calibration for Monocular Visual-Inertial SystemsCode0
Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters—0
Near-Optimal Distributed Estimation for a Network of Sensing Units Operating Under Communication Constraints—0
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation—0
Constrained State Estimation -- A Review—0
Learning Traffic Flow Dynamics using Random Fields—0
Robust Object Tracking with Crow Search Optimized Multi-cue Particle Filter—0
Differentiable Particle Filters: End-to-End Learning with Algorithmic PriorsCode1
Particle Filter Networks with Application to Visual LocalizationCode0
An Enhanced MPPT Method based on ANN-assisted Sequential Monte Carlo and Quickest Change Detection—0
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems—0
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring—0
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry—0
Learning Robotic Assembly from CAD—0
Event-triggered Learning for Resource-efficient Networked Control—0
Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAMCode0
IONet: Learning to Cure the Curse of Drift in Inertial Odometry—0
A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation—0
Quickest Attack Detection in Smart Grid Based on Sequential Monte Carlo Filtering—0
Learning to See Physics via Visual De-animation—0
Contracting Nonlinear Observers: Convex Optimization and Learning from Data—0
Deep Forward and Inverse Perceptual Models for Tracking and Prediction—0
Learning hard quantum distributions with variational autoencoders—0
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios—0
The Generalized Cross Validation Filter—0
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation—0
Identification of Gaussian Process State Space Models—0
Power Systems Data Fusion based on Belief Propagation—0
A Bayesian Filtering Algorithm for Gaussian Mixture Models—0
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments—0
Direct Monocular Odometry Using Points and Lines—0
Weak Adaptive Submodularity and Group-Based Active Diagnosis with Applications to State Estimation with Persistent Sensor Faults—0
Enhancing Observability in Distribution Grids using Smart Meter Data—0
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics—0
The Neural Particle Filter—0
Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering—0
Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach—0
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution—0
Team-Optimal Distributed MMSE Estimation in General and Tree Networks—0
Optimal Encoding and Decoding for Point Process Observations: an Approximate Closed-Form Filter—0
Incremental Nonlinear System Identification and Adaptive Particle Filtering Using Gaussian Process—0
Maximum Correntropy Unscented Filter—0
Backprop KF: Learning Discriminative Deterministic State EstimatorsCode0
Online Multi-Target Tracking Using Recurrent Neural Networks—0
State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems—0
Towards Practical Bayesian Parameter and State Estimation—0
Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation—0
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding—0
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search—0
When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective—0
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