Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters
Fuente:
arXiv
Saved in:
| Main Authors: | Alotaibi, Omar, Mark, Brian L., Fasihi, Mohammad Reza |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Score Kalman Filter
by: Iwasaki, Kaito, et al.
Published: (2026)
by: Iwasaki, Kaito, et al.
Published: (2026)
Robust Probability Hypothesis Density Filtering: Theory and Algorithms
by: Lei, Ming, et al.
Published: (2025)
by: Lei, Ming, et al.
Published: (2025)
Steady State Distributed Kalman Filter
by: Rego, Francisco
Published: (2026)
by: Rego, Francisco
Published: (2026)
Max-Entropy Moment Filtering for Stochastic Hybrid Systems
by: Iwasaki, Kaito, et al.
Published: (2026)
by: Iwasaki, Kaito, et al.
Published: (2026)
Multi-Robot Relative Pose Estimation in SE(2) with Observability Analysis: A Comparison of Extended Kalman Filtering and Robust Pose Graph Optimization
by: Shin, Kihoon, et al.
Published: (2024)
by: Shin, Kihoon, et al.
Published: (2024)
A Decomposition Approach for the Gain Function in the Feedback Particle Filter
by: Wang, Ruoyu, et al.
Published: (2025)
by: Wang, Ruoyu, et al.
Published: (2025)
Incorporating Bayesian Transfer Learning into Particle Filter for Dual-Tracking System with Asymmetric Noise Intensities
by: Alotaibi, Omar A., et al.
Published: (2025)
by: Alotaibi, Omar A., et al.
Published: (2025)
Automatic Link Selection in Multi-Channel Multiple Access with Link Failures
by: Wijewardena, Mevan, et al.
Published: (2025)
by: Wijewardena, Mevan, et al.
Published: (2025)
An Assessment of Ensemble Kalman Filter and Azouani-Olson-Titi Algorithms for Data Assimilation: A Comparative Study
by: Ning, Ning, et al.
Published: (2024)
by: Ning, Ning, et al.
Published: (2024)
Bellman filtering and smoothing for state-space models
by: Lange, Rutger-Jan
Published: (2020)
by: Lange, Rutger-Jan
Published: (2020)
Nonparametric Sparse Online Learning of the Koopman Operator
by: Hou, Boya, et al.
Published: (2024)
by: Hou, Boya, et al.
Published: (2024)
Average Cost Optimality of Partially Observed MDPS: Contraction of Non-linear Filters, Optimal Solutions and Approximations
by: Demirci, Yunus Emre, et al.
Published: (2023)
by: Demirci, Yunus Emre, et al.
Published: (2023)
Reinforcement Learning Method for Zero-Sum Linear-Quadratic Stochastic Differential Games in Infinite Horizons
by: Wang, Yiyuan
Published: (2026)
by: Wang, Yiyuan
Published: (2026)
A geometric perspective of state estimation using Kalman filters
by: Baran, Mateusz, et al.
Published: (2025)
by: Baran, Mateusz, et al.
Published: (2025)
Continuous time Stochastic optimal control under discrete time partial observations
by: Bayer, Christian, et al.
Published: (2024)
by: Bayer, Christian, et al.
Published: (2024)
Optimal control of SDEs with merely measurable drift: an HJB approach
by: Du, Kai, et al.
Published: (2025)
by: Du, Kai, et al.
Published: (2025)
Continuous-time Risk-sensitive Reinforcement Learning via Quadratic Variation Penalty
by: Jia, Yanwei
Published: (2024)
by: Jia, Yanwei
Published: (2024)
An irreversible investment problem with a learning-by-doing feature
by: Ekström, Erik, et al.
Published: (2024)
by: Ekström, Erik, et al.
Published: (2024)
Analysis of the Ensemble Kalman--Bucy Filter for correlated observation noise
by: Ertel, Sebastian, et al.
Published: (2022)
by: Ertel, Sebastian, et al.
Published: (2022)
Multi-period Asset-liability Management with Reinforcement Learning in a Regime-Switching Market
by: Gao, Zhongqin, et al.
Published: (2025)
by: Gao, Zhongqin, et al.
Published: (2025)
Ensemble Kalman-Bucy filtering for nonlinear model predictive control
by: Reich, Sebastian
Published: (2025)
by: Reich, Sebastian
Published: (2025)
A Continuous-Time Ensemble Kalman-Bucy Smoother for Causal Inference and Model Discovery
by: Jiang, Zhang, et al.
Published: (2026)
by: Jiang, Zhang, et al.
Published: (2026)
Nonexistence of finite-dimensional estimation algebras on closed smooth manifolds
by: Kang, Jiayi, et al.
Published: (2024)
by: Kang, Jiayi, et al.
Published: (2024)
The Mean Field Ensemble Kalman Filter: Near-Gaussian Setting
by: Carrillo, J. A., et al.
Published: (2022)
by: Carrillo, J. A., et al.
Published: (2022)
On Robustness of Double Linear Policy with Time-Varying Weights
by: Wang, Xin-Yu, et al.
Published: (2023)
by: Wang, Xin-Yu, et al.
Published: (2023)
Controllability and Vector Potential
by: Shankar, Shiva
Published: (2019)
by: Shankar, Shiva
Published: (2019)
Automatic model training under restrictive time constraints
by: Cironis, Lukas, et al.
Published: (2021)
by: Cironis, Lukas, et al.
Published: (2021)
Posterior Sampling-based Online Learning for Episodic POMDPs
by: Tang, Dengwang, et al.
Published: (2023)
by: Tang, Dengwang, et al.
Published: (2023)
Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach
by: Tang, Dengwang, et al.
Published: (2023)
by: Tang, Dengwang, et al.
Published: (2023)
Comparing an Ensemble Kalman Filter to a 4DVAR Data Assimilation System in Chaotic Dynamics
by: Harter, Fabrício Pereira, et al.
Published: (2026)
by: Harter, Fabrício Pereira, et al.
Published: (2026)
Continuous Policy and Value Iteration for Stochastic Control Problems and Its Convergence
by: Feng, Qi, et al.
Published: (2025)
by: Feng, Qi, et al.
Published: (2025)
Power Utility Maximization with Expert Opinions at Fixed Arrival Times in a Market with Hidden Gaussian Drift
by: Gabih, Abdelali, et al.
Published: (2023)
by: Gabih, Abdelali, et al.
Published: (2023)
Reinforcement Learning for Dividend Optimization in Partially Observed Regime-Switching Diffusion Model
by: Gao, Zhongqin, et al.
Published: (2026)
by: Gao, Zhongqin, et al.
Published: (2026)
Formalising the intentional stance 2: a coinductive approach
by: McGregor, Simon, et al.
Published: (2025)
by: McGregor, Simon, et al.
Published: (2025)
Formalising the intentional stance 1: attributing goals and beliefs to stochastic processes
by: McGregor, Simon, et al.
Published: (2024)
by: McGregor, Simon, et al.
Published: (2024)
Dynamic Weight Optimization for Double Linear Policy: A Stochastic Model Predictive Control Approach
by: Hong, Tan Chin, et al.
Published: (2026)
by: Hong, Tan Chin, et al.
Published: (2026)
Fully distributed consensus control for stochastic multi-agent systems under undirected and directed topologies
by: Hou, Xuping, et al.
Published: (2026)
by: Hou, Xuping, et al.
Published: (2026)
Reinforcement Learning, Optimal Control, and Bayesian Filtering in Data Assimilation
by: Hammoud, Abed
Published: (2026)
by: Hammoud, Abed
Published: (2026)
Learning to steer with Brownian noise
by: Ankirchner, Stefan, et al.
Published: (2024)
by: Ankirchner, Stefan, et al.
Published: (2024)
Dynamic Programming Principle and Stabilization for Mean-Field Quantum Filtering Systems
by: Chalal, Sofiane, et al.
Published: (2026)
by: Chalal, Sofiane, et al.
Published: (2026)
Similar Items
-
The Score Kalman Filter
by: Iwasaki, Kaito, et al.
Published: (2026) -
Robust Probability Hypothesis Density Filtering: Theory and Algorithms
by: Lei, Ming, et al.
Published: (2025) -
Steady State Distributed Kalman Filter
by: Rego, Francisco
Published: (2026) -
Max-Entropy Moment Filtering for Stochastic Hybrid Systems
by: Iwasaki, Kaito, et al.
Published: (2026) -
Multi-Robot Relative Pose Estimation in SE(2) with Observability Analysis: A Comparison of Extended Kalman Filtering and Robust Pose Graph Optimization
by: Shin, Kihoon, et al.
Published: (2024)