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Keyword

Bayesian filtering

Description: Bayesian filtering is a recursive estimation method that updates probability distributions over hidden states using observations and probabilistic models.
Wikidata ID: wiki/Q3059012
OpenAlex ID: keywords/bayesian-filtering
On sequential Monte Carlo sampling methods for Bayesian filtering
2000 · Arnaud Doucet, Simon Godsill, et al. · Statistics and Computing · 4,433
Simultaneous localization and mapping (SLAM): part II
2006 · T. Bailey, H. Durrant-Whyte · IEEE Robotics & Automation Magazine · 2,552
Bayesian Filtering and Smoothing
2013 · Simo Särkkä · Cambridge University Press eBooks · 1,778
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
2009 · Leonid Sigal, Alexandru O. Balan, et al. · International Journal of Computer Vision · 1,168
Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models
2004 · Van Der Merwe, Rudolph · 1,017
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo
2007 · Olivier Cappe, Simon J. Godsill, et al. · Proceedings of the IEEE · 1,009
Bayesian Filtering and Smoothing
2013 · Simo Srkk · 728
State Estimation for Robotics
2017 · Timothy D. Barfoot · Cambridge University Press eBooks · 725
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Bayesian filtering for location estimation
2003 · D. Fox, J. Hightower, et al. · IEEE Pervasive Computing · 713
Particle Filtering in Geophysical Systems
2009 · Peter Jan van Leeuwen · Monthly Weather Review · 678
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Structure detection and statistical adaptive speckle filtering in SAR images
1993 · A. LOPES, E. NEZRY, et al. · International Journal of Remote Sensing · 585
The ensemble Kalman filter for combined state and parameter estimation
2009 · Geir Evensen · IEEE Control Systems · 550
Recursive Bayesian Estimation : Navigation and Tracking Applications
1999 · Niclas Bergman · 529
A comparative survey of WLAN location fingerprinting methods
2009 · Ville Honkavirta, Tommi Perala, et al. · Workshop on Positioning Navigation and Communication · 527
On state estimation in switching environments
1970 · G. Ackerson, K. Fu · IEEE Transactions on Automatic Control · 525
Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words
2008 · A. Angeli, D. Filliat, et al. · IEEE Transactions on Robotics · 514
Gaussian sum particle filtering
2003 · J.H. Kotecha, P.M. Djuric · IEEE Transactions on Signal Processing · 508
People Tracking with Mobile Robots Using Sample-Based Joint Probabilistic Data Association Filters
2003 · Dirk Schulz, Wolfram Burgard, et al. · The International Journal of Robotics Research · 435
Tracking and Kalman Filtering Made Easy
1998 · Eli Brookner · Wiley eBooks · 435
Model based vehicle detection and tracking for autonomous urban driving
2009 · Anna Petrovskaya, Sebastian Thrun · Autonomous Robots · 429
Comparing Ubisense, BeSpoon, and DecaWave UWB Location Systems: Indoor Performance Analysis
2017 · Antonio Ramon Jimenez Ruiz, Fernando Seco Granja · IEEE Transactions on Instrumentation and Measurement · 420
On Sequential Monte Carlo Sampling Methods for Bayesian Filtering
2005 · Arnaud Doucet, Simon Godsill, et al. · 412
Learning-based approach for online lane change intention prediction
2013 · Puneet Kumar, Mathias Perrollaz, et al. · IEEE Intelligent Vehicles Symposium · 411
Predicting retrosynthetic pathways using transformer-based models and a hyper-graph exploration strategy
2020 · Philippe Schwaller, Riccardo Petraglia, et al. · Chemical Science · 405
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On sequential simulation-based methods for Bayesian filtering
1998 · Doucet, A., Cambridge Univ. (United Kingdom). Dept. of Engineering · 402
Works count: 3,795
Citation count: 66,280
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