State Estimation

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 208 papers with code (1,067 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
  6 Oct 2019 12 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  We provide an open-source C++ library for real-time metric-semantic visual-inertial Simultaneous Localization And Mapping (SLAM).
• SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
  14 Nov 2019 6 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Following these guidelines, we design our Fully Convolutional Siamese tracker++ (SiamFC++) by introducing both classification and target state estimation branch(G1), classification score without ambiguity(G2), tracking…
• Learning neural state-space models: do we need a state estimator?
  26 Jun 2022 5 repositories listed
  In recent years, several algorithms for system identification with neural state-space models have been introduced.
• Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities
  4 Mar 2019 5 repositories listed
  We propose instead to tightly couple mesh regularization and state estimation by detecting and enforcing structural regularities in a novel factor-graph formulation.
• Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
  10 Mar 2021 4 repositories listed
  The code and protocols for our benchmark and algorithm are available at https://github.
• Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach
  8 Jun 2020 4 repositories listed Syntology ran 2 of 17 samples · 15 unverified
  This paper presents a new deep learning-based framework for robust nonlinear estimation and control using the concept of a Neural Contraction Metric (NCM).
• A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
  11 Jan 2019 4 repositories listed
  We highlight that our system is a general framework, which can easily fuse various global sensors in a unified pose graph optimization.
• A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
  11 Jan 2019 4 repositories listed
  We validate the performance of our system on public datasets and through real-world experiments with multiple sensors.
• ATOM: Accurate Tracking by Overlap Maximization
  19 Nov 2018 4 repositories listed Syntology ran 3 of 9 samples · 6 unverified
  We argue that this approach is fundamentally limited since target estimation is a complex task, requiring high-level knowledge about the object.
• Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM Network
  1 Sep 2023 3 repositories listed
  This work proposes a deep-learning-based method to detect NLOS receptions and predict GNSS pseudorange errors by analyzing GNSS observations as a spatio-temporal modeling problem.
• R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
  10 Sep 2021 3 repositories listed
  Moreover, to make R3LIVE more extensible, we develop a series of offline utilities for reconstructing and texturing meshes, which further minimizes the gap between R3LIVE and various of 3D applications such as…
• KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
  21 Jul 2021 3 repositories listed
  State estimation of dynamical systems in real-time is a fundamental task in signal processing.
• A framework for constrained static state estimation in unbalanced distribution networks
  23 Nov 2020 3 repositories listed
  State estimation plays a key role in the transition from the passive to the active operation of distribution systems, as it allows to monitor these networks and, successively, to perform control actions.
• Machine Learning and System Identification for Estimation in Physical Systems
  5 Jun 2019 3 repositories listed
  The main approach to estimation and learning adopted is optimization based.
• Real-time Power System State Estimation and Forecasting via Deep Neural Networks
  15 Nov 2018 3 repositories listed
  To bypass these hurdles, this paper advocates deep neural networks (DNNs) for real-time power system monitoring.
• Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
  28 May 2018 3 repositories listed Syntology ran 4 of 4 samples · 0 unverified
  We present differentiable particle filters (DPFs): a differentiable implementation of the particle filter algorithm with learnable motion and measurement models.
• Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
  7 Oct 2024 2 repositories listed
  Each observation is a multivariate count vector, where the total counts are arbitrary, and the information lies in the relative frequency of the counts.
• FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
  26 Aug 2024 2 repositories listed
  The fusion of both visual and LiDAR measurements is based on a single unified voxel map where the LiDAR module constructs the geometric structure for registering new LiDAR scans and the visual module attaches image…
• SIGMA: Selective Gated Mamba for Sequential Recommendation
  21 Aug 2024 2 repositories listed
  In various domains, Sequential Recommender Systems (SRS) have become essential due to their superior capability to discern intricate user preferences.
• DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup
  4 Jun 2023 2 repositories listed
  DANSE provides a closed-form posterior of the state of the model-free process, given linear measurements of the state.
• PaLM-E: An Embodied Multimodal Language Model
  6 Mar 2023 2 repositories listed
  Large language models excel at a wide range of complex tasks.
• Phase Identification of Distribution System Users Through a MILP Extension of State Estimation
  16 Jun 2022 2 repositories listed
  To address the challenges and exploit the opportunities that the decarbonization of the energy sector is bringing about, advanced distribution network management and operation strategies are being developed.
• Neural optimal feedback control with local learning rules
  12 Nov 2021 2 repositories listed Syntology ran 1 of 5 samples · 4 unverified · 1 pointer-only (licence)
  This network performs system identification and Kalman filtering, without the need for multiple phases with distinct update rules or the knowledge of the noise covariances.
• Stein ICP for Uncertainty Estimation in Point Cloud Matching
  7 Jun 2021 2 repositories listed
  Quantification of uncertainty in point cloud matching is critical in many tasks such as pose estimation, sensor fusion, and grasping.
• Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
  20 Oct 2020 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We adopt a recent probabilistic recurrent neural network architecture, called Re-current Kalman Networks (RKNs), to model learning by conditioning its transition dynamics on the control actions.
• Learning to Explore using Active Neural SLAM
  10 Apr 2020 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  The use of learning provides flexibility with respect to input modalities (in the SLAM module), leverages structural regularities of the world (in global policies), and provides robustness to errors in state estimation…
• AirSim Drone Racing Lab
  12 Mar 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Autonomous drone racing is a challenging research problem at the intersection of computer vision, planning, state estimation, and control.
• Real-time Linear Operator Construction and State Estimation with the Kalman Filter
  30 Jan 2020 2 repositories listed
  In addition, using this method, an expectation maximization algorithm can be used to estimate the parameters of the model.
• Solving Rubik's Cube with a Robot Hand
  16 Oct 2019 2 repositories listed
  We demonstrate that models trained only in simulation can be used to solve a manipulation problem of unprecedented complexity on a real robot.
• Multiple Policy Value Monte Carlo Tree Search
  31 May 2019 2 repositories listed
  Many of the strongest game playing programs use a combination of Monte Carlo tree search (MCTS) and deep neural networks (DNN), where the DNNs are used as policy or value evaluators.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.