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Abstract: Over the last years, particle filters have been applied with great success to a variety of state estimation problems. In this paper we present a statistical approach to increasing the efficiency of particle filters by adapting the size of sample sets during the estimation process. (Update)
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BibTeX entry: (Update)
D. Fox. Adapting the sample size in particle filters through KLD-sampling. International Journal of Robotics Research (IJRR), 22, 2003. http://citeseer.ist.psu.edu/fox03adapting.html More
@misc{ fox03adapting,
author = "D. Fox",
title = "Adapting the sample size in particle filters through KLD-sampling",
text = "D. Fox. Adapting the sample size in particle filters through KLD-sampling.
International Journal of Robotics Research (IJRR), 22, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/fox03adapting.html" }
Citations (may not include all citations):384 A new approach to linear filtering and prediction problems (context) - Kalman - 1960
364 Condensation -- conditional density propagation for visual t.. - Isard, Blake - 1998
346 Applied Optimal Estimation (context) - Gelb - 1974
202 Wiley Series in Telecommunications (context) - Cover, Thomas et al. - 1991
194 Continuous univariate distributions (context) - Johnson, Kotz et al. - 1994
161 Probabilistic robot navigation in partially observable envir.. - Simmons, Koenig - 1995
141 On sequential Monte Carlo sampling methods for Bayesian filt.. - Doucet, Godsill et al. - 2000
137 Filtering via simulation: auxiliary particle filters - Pitt, Shephard - 1999
136 Acting under uncertainty: Discrete Bayesian models for mobil.. - Kaelbling, Cassandra et al. - 1996
126 Sequential Monte Carlo methods for dynamic systems - Liu, Chen - 1998
126 Mobile robot localization by tracking geometric beacons (context) - Leonard, Durrant-Whyte - 1991
122 Monte Carlo filter and smoother for non-Gaussian nonlinear s.. (context) - Kitagawa - 1996
118 Estimating the absolute position of a mobile robot using pos.. - Burgard, Fox et al. - 1996
115 Experiences with an interactive museum tour-guide robot - Burgard, Cremers et al. - 1999
114 Reducing bias and inefficiency in the selection algorithm (context) - Baker - 1987
104 Blanche---an experiment in guidance and navigation of an aut.. (context) - Cox - 1991
102 Markov localization for mobile robots in dynamic environment.. - Fox, Burgard et al. - 1999
99 Estimating uncertain spatial relationships in robotics (context) - Smith, Self et al. - 1990
97 Robot pose estimation in unknown environments by matching 2D.. - Lu, Milios - 1997
91 An experimental comparison of localization methods continued - Gutmann, Fox - 2002
91 An experimental comparison of localization methods - Gutmann, Burgard et al. - 1998
88 Robust Monte Carlo localization for mobile robots - Thrun, Fox et al. - 2001
82 Monte Carlo Localization: Efficient position estimation for .. - Fox, Burgard et al. - 1999
80 Mathematical Statistics and Data Analysis (context) - Rice - 1995
73 Multitarget-Multisensor Tracking: Principles and Techniques (context) - Bar-Shalom, Li - 1995
73 Bayesian statistics without tears: A samplingresampling pers.. (context) - Smith, Gelfand - 1992
67 vision-based mobile robot localization (context) - Dellaert, Burgard et al. - 1999
67 A solution to the simultaneous localization and map building (context) - Dissanayake, Newman et al. - 2001
63 A computationally efficient method for large-scale concurren.. - Leonard, Feder - 1999
61 A probabilistic approach to collaborative multi-robot locali.. - Fox, Burgard et al. - 2000
61 A new extension of the Kalman filter to nonlinear systems - Julier, Uhlmann - 1997
58 A review of statistical data association techniques for moti.. (context) - Cox - 1993
57 The spatial semantic hierarchy - Kuipers - 2000
57 Rao-Blackwellised particle filtering for dynamic bayesian ne.. - Doucet, de Freitas et al. - 2000
55 FastSLAM: A factored solution to the simultaneous localizati.. - Montemerlo, Thrun et al. - 2002
52 Probabilistic algorithms and the interactive museum tour-gui.. - Thrun, Beetz et al. - 2000
51 Tracking multiple moving targets with a mobile robot using p.. - Schulz, Burgard et al. - 2001
48 A tutorial on particle filters for on-line non-linear / non-.. - Arulampalam, Maskell et al. - 2001
44 The SPmap: A probabilistic framework for simultaneous locali.. - Castellanos, Montiel et al. - 1999
44 Following a moving target - Monte Carlo inference for dynami.. (context) - Gilks, Berzuini - 2001
41 Integrating global position estimation and position tracking.. - Burgard, Derr et al. - 1998
40 Bumptrees for efficient function (context) - Omohundro - 1991
40 Efficient locally weighted polynomial regression predictions - Moore, Schneider et al. - 1997
40 Sensor resetting localization for poorly modelled mobile rob.. - Lenser, Veloso - 2000
38 Modeling a dynamic environment using a Bayesian multiple hyp.. (context) - Cox, Leonard - 1994
37 Markov localization using correlation (context) - Konolige, Chou - 1999
36 Using learning for approximation in stochastic processes - Koller, Fratkina - 1998
36 Error correction in mobile robot map learning (context) - Engelson, McDermott - 1992
35 The unscented Kalman filter for nonlinear estimation - Wan, van der Merwe - 2000
33 toward exact localization without explicit localization - Choset, Nagatani et al. - 2001
31 Branching and interacting particle systems approximations of.. (context) - Moral, Miclo - 2000
30 Conditional particle filters for simultaneous mobile robot l.. - Montemerlo, Thrun et al. - 2002
29 Landmark-based autonomous navigation in sewerage pipes - Hertzberg, Kirchner - 1996
28 Particle filters for mobile robot localization - Fox, Thrun et al.
27 Markov Localization: A Probabilistic Framework for Mobile Ro.. - Fox - 1998
26 Sequential Monte Carlo in Practice (context) - Doucet, de Freitas et al. - 2001
20 Active global localisation for a mobile robot using multiple.. - Jensfelt, Kristensen - 2001
19 Bootstrap learning for place recognition - Kuipers, Beeson - 2002
19 and robust self-localization in polygonal environments (context) - Gutmann, Weigel et al. - 1999
17 KLD-sampling: Adaptive particle filters - Fox - 2002
16 Feature based condensation for mobile robot localization - Jensfelt, Wijk et al. - 2000
16 Auxiliary particle filter robot localization from high-dimen.. - Vlassis, Terwijn et al. - 2002
13 Monte Carlo hidden Markov models: Learning nonparametric mod.. - Thrun, Langford et al. - 1999
13 Robust vision-based localization for mobile robots using an .. - Wolf, Burgard et al. - 2002
13 Bayesian optimization algorithm - Pelikan, Goldberg et al. - 2000
12 Probabilistic self-localization for mobile robots - Olson - 2000
11 Bayesian estimation and Kalman filtering: A unified framewor.. (context) - Roumeliotis, Bekey - 2000
10 high-precision localization for the mail distributing mobile.. (context) - Arras, Vestli - 1998
9 Rao-Blackwellised particle filtering for dynamic Bayesian ne.. (context) - Murphy, Russell
9 Rao-Blackwellised particle filtering for fault diagnosis - de Freitas - 2002
9 Non-parametric fault identification for space rovers - Verma, Langford et al. - 2001
8 Soccer-robot locatization using sporadic visual features (context) - Enderle, Ritter et al. - 2000
6 Sampling in factored dynamic systems - Koller, Lerner
6 Improvement strategies for Monte Carlo particle filters - Godsill, Clapp
5 Using multiple Gaussian hypotheses to represent probability .. - Austin, Jensfelt - 2000
5 IEEE Transactions on Signal Processing (context) - Gustafsson, Gunnarsson et al. - 2002
4 Particle methods for Bayesian modelling and enhancement of s.. - Vermaak, Andrieu et al. - 2002
3 Maximally informative statistics for localization and mappin.. (context) - Deans - 2002
2 An introduction to hidden Markov models and Bayesian network.. (context) - Ghahramani - 2001
1 Notes of ACM SIGGRAPH tutorial on the Kalman filter (context) - Welch, Bishop et al. - 2001
1 Feature-based multi-hypothesis localization and tracking for.. (context) - Arras, Castellanos et al. - 2002
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