Markov chain Monte Carlo

Monte Carlo localization: efficient position estimation for mobile robots

Dieter Fox, Wolfram Burgard, Frank Dellaert, Sebastian Thrun

引用数: 1073 • 1999

Monte Carlo Localization with Mixture Proposal Distribution

Sebastian Thrun, Dieter Fox, Wolfram Burgard

引用数: 190 • 2000

EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence

Frank Dellaert, Steven M. Seitz, C. Thorpe, Sebastian Thrun

引用数: 95 • 2003

Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

Christian Plagemann, Kristian Kersting, Wolfram Burgard

引用数: 94 • 2008

Learning to predict trajectories of cooperatively navigating agents

Henrik Kretzschmar, Markus Kuderer, Wolfram Burgard

引用数: 79 • 2014

An improved Monte Carlo method based on Gaussian growth to calculate the workspace of robots

Adrián Peidró, Óscar Reinoso, Arturo Gil, José María Marín, Luis Payá

引用数: 78 • 2017

A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets

Greg Ridgeway

引用数: 72 • 2003

Importance sampling for online planning under uncertainty

Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee

引用数: 49 • 2018

Probabilistic programming with programmable inference

Vikash K. Mansinghka, Ulrich Schaechtle, Shivam Handa, Alexey Radul, Yutian Chen, Martin Rinard

引用数: 37 • 2018

Locating hazardous gas leaks in the atmosphere via modified genetic, MCMC and particle swarm optimization algorithms

Ji Wang, Ru Zhang, Yuting Yan, Xiaoqiang Dong, Jun Ming Li

引用数: 35 • 2017

Markov techniques for object localisation with force-controlled robots

Klaas Gadeyne, Herman Bruyninckx

引用数: 35 • 2001

Statistical Signal Processing and the Motor Cortex

Anthony Brockwell, Robert E. Kass, Andrew B. Schwartz

引用数: 29 • 2007

On a stochastic robotic surveillance problem

Kunal Srivastava, Dušan M. Stipanović, Mark W. Spong

引用数: 27 • 2009

Design and Analysis of a Human–Machine Interaction System for Researching Human’s Dynamic Emotion

Xiao Sun, Zheng‐Meng Pei, Chen Zhang, Guoqiang Li, Jianhua Tao

引用数: 24 • 2019

Monte Carlo localization for mobile robot using adaptive particle merging and splitting technique

Tiancheng Li, Shudong Sun, Jun Duan

引用数: 22 • 2010

A Markov Chain Monte Carlo Approach to Closing the Loop in SLAM

Michael Kaess, Frank Dellaert

引用数: 22 • 2006

A generalizable knowledge framework for semantic indoor mapping based on Markov logic networks and data driven MCMC

Ziyuan Liu, Georg von Wichert

引用数: 20 • 2013

Data driven MCMC for Appearance-based Topological Mapping

Ananth Ranganathan, Frank Dellaert

引用数: 20 • 2005

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks: Online Environmental Field Reconstruction in Space and Time

Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti

引用数: 15 • 2015

Differential Evolution Markov Chain Filter for Global Localization

Luís Moreno, Fernando Martín, María Luisa Muñoz, Santiago Garrido

引用数: 14 • 2015