Particle Filter Networks with Application to Visual Localization

23 May 2018

Papers citing "Particle Filter Networks with Application to Visual Localization"

50 / 77 papers shown

Title
Learning to be Smooth: An End-to-End Differentiable Particle Smoother Ali Younis Erik B. Sudderth AI4TS 46 0 0 14 Feb 2025
GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models Benjamin Cox Émilie Chouzenoux Victor Elvira 81 0 0 23 Nov 2024
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks Benjamin Cox Santiago Segarra Victor Elvira 81 0 0 23 Nov 2024
NaVIP: An Image-Centric Indoor Navigation Solution for Visually Impaired People Jun Yu Yifan Zhang Badrinadh Aila V. Namboodiri 33 1 0 08 Oct 2024
Enhanced SMC $^2$ : Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals Conor Rosato Joshua Murphy Alessandro Varsi P. Horridge Simon Maskell 37 4 0 24 Jul 2024
Improving Visual Place Recognition Based Robot Navigation Through Verification of Localization Estimates Owen Claxton Connor Malone Helen Carson Jason Ford Gabe Bolton Iman Shames Michael Milford 34 1 0 11 Jul 2024
Regime Learning for Differentiable Particle Filters John-Joseph Brady Yuhui Luo Wenwu Wang Victor Elvira Yunpeng Li 33 0 0 08 May 2024
Revisiting semi-supervised training objectives for differentiable particle filters Jiaxi Li John-Joseph Brady Xiongjie Chen Yunpeng Li 28 1 0 02 May 2024
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments Niklas Gard Anna Hilsmann Peter Eisert 46 2 0 16 Apr 2024
The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement Gabriele Trivigno Carlo Masone Barbara Caputo Torsten Sattler 47 8 0 16 Apr 2024
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes Ali Younis Erik B. Sudderth 36 4 0 12 Apr 2024
A Survey of Machine Learning Techniques for Improving Global Navigation Satellite Systems Adyasha Mohanty Grace Gao 41 17 0 29 Mar 2024
Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps Timothy Chen O. Shorinwa Joseph Bruno Javier Yu Weijia Zeng Weijia Zeng Keiko Nagami Mac Schwager Mac Schwager 3DGS 43 31 0 05 Mar 2024
F $^3$ Loc: Fusion and Filtering for Floorplan Localization Changan Chen Rui Wang Christoph Vogel Marc Pollefeys 43 4 0 05 Mar 2024
Differentiable Particle Filtering using Optimal Placement Resampling Domonkos Csuzdi Olivér Törő Tamás Bécsi 32 0 0 26 Feb 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 26 13 0 31 Jan 2024
Learning Differentiable Particle Filter on the Fly Jiaxi Li Xiongjie Chen Yunpeng Li 31 1 0 10 Dec 2023
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice Idan Lev-Yehudi Moran Barenboim Vadim Indelman 38 6 0 13 Nov 2023
Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions Jinzheng Zhao Yong-mei Xu Xinyuan Qian Davide Berghi Peipei Wu Meng Cui Jianyuan Sun Philip J. B. Jackson Wenwu Wang BDL 45 7 0 23 Oct 2023
Streaming Motion Forecasting for Autonomous Driving Ziqi Pang Deva Ramanan Mengtian Li Yu-xiong Wang AI4TS 34 6 0 02 Oct 2023
From Deep Filtering to Deep Econometrics Robert Stok Paul Bilokon 14 0 0 13 Sep 2023
Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition Helen Carson J. Ford Michael Milford 23 3 0 04 Jul 2023
Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture Johannes Pitz Lennart Röstel Leon Sievers Berthold Bäuml 20 32 0 08 Mar 2023
DNBP: Differentiable Nonparametric Belief Propagation Anthony Opipari Jana Pavlasek Chao Chen Shoutian Wang Karthik Desingh Odest Chadwicke Jenkins 19 3 0 08 Mar 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models Wenhan Li Xiongjie Chen Wenwu Wang Victor Elvira Yunpeng Li 43 6 0 20 Feb 2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference Xiongjie Chen Yunpeng Li 33 14 0 19 Feb 2023
Unsupervised Learning of Sampling Distributions for Particle Filters Fernando Gama Nicolas Zilberstein Martín Sevilla Richard Baraniuk Santiago Segarra 40 9 0 02 Feb 2023
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving Angad Singh Omar Makhlouf Maximilian Igl Joao Messias Arnaud Doucet Shimon Whiteson 49 2 0 14 Dec 2022
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus Boris Ivanovic Shie Mannor Marco Pavone 36 46 0 13 Dec 2022
BEV-Locator: An End-to-end Visual Semantic Localization Network Using Multi-View Images Zhihuang Zhang Mengze Xu Wenqiang Zhou T. Peng L. Li S. Poslad 30 18 0 27 Nov 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems Wei Liu Zhilu Lai Kiran Bacsa Eleni Chatzi 38 16 0 09 Oct 2022
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement Zirui Zhao W. Lee David Hsu OOD 32 9 0 01 Oct 2022
Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps Daniel Honerkamp Suresh Guttikonda Abhinav Valada 27 2 0 20 Sep 2022
LASER: LAtent SpacE Rendering for 2D Visual Localization Zhixiang Min Naji Khosravan Zachary Bessinger Manjunath Narayana S. B. Kang Enrique Dunn Ivaylo Boyadzhiev 3DV 28 16 0 01 Apr 2022
Tactile Pose Estimation and Policy Learning for Unknown Object Manipulation Tarik Kelestemur Robert W. Platt T. Padır 33 32 0 21 Mar 2022
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow Xiongjie Chen Yunpeng Li 21 6 0 16 Mar 2022
Cross-view and Cross-domain Underwater Localization based on Optical Aerial and Acoustic Underwater Images M. Santos G. G. Giacomo Paulo L. J. Drews-Jr S. Botelho 6 12 0 16 Feb 2022
Deep Measurement Updates for Bayes Filters Johannes Pankert M. Minniti Lorenz Wellhausen Marco Hutter 19 1 0 01 Dec 2021
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters Conor Rosato Vincent Beraud P. Horridge Thomas B. Schon Simon Maskell 18 14 0 02 Nov 2021
Variational Marginal Particle Filters Jinlin Lai Justin Domke Daniel Sheldon 33 9 0 30 Sep 2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter Hanbo Zhang Yunfan Lu Cunjun Yu David Hsu Xuguang Lan Nanning Zheng LM&Ro 29 63 0 25 Aug 2021
Differentiable Particle Filters through Conditional Normalizing Flow Xiongjie Chen Hao Wen Yunpeng Li 29 20 0 01 Jul 2021
Differentiable Particle Filtering without Modifying the Forward Pass Adam Scibior Frank Wood 28 19 0 18 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 33 22 0 10 Jun 2021
Unbiased Asymmetric Reinforcement Learning under Partial Observability Andrea Baisero Chris Amato OffRL 16 19 0 25 May 2021
Differentiable Factor Graph Optimization for Learning Smoothers Brent Yi Michelle A. Lee Alina Kloss Roberto Martín-Martín Jeannette Bohg 27 28 0 18 May 2021
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation Peter Karkus Shaojun Cai David Hsu 14 65 0 17 May 2021
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Yunru Bai Dapeng Li Bin Zhang Guoliang Fan 22 9 0 13 May 2021
Neural Motion Prediction for In-flight Uneven Object Catching Hongxiang Yu Dashun Guo Huan Yin An-Jen Chen Kechun Xu Yue Wang R. Xiong 24 10 0 15 Mar 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 43 66 0 15 Feb 2021