Kernel density estimation

Robust Monte Carlo localization for mobile robots

Sebastian Thrun, Dieter Fox, Wolfram Burgard, Frank Dellaert

Citations: 1803 • 2001

A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm

Achim J. Lilienthal, Matteo Reggente, Marco Trincavelli, Jose‐Luis Blanco, Javier González

Citations: 153 • 2009

A probabilistic model for appearance-based robot localization

Ben Kröse, Nikos Vlassis, R. Bunschoten, Yoichi Motomura

Citations: 147 • 2001

Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction

Takahiro Maeda, Norimichi Ukita

Citations: 42 • 2023

A data-driven approach to diagnostics of repetitive processes in the distribution domain – Applications to gearbox diagnostics in industrial robots and rotating machines

André Carvalho Bittencourt, Kari Saarinen, Shiva Sander-Tavallaey, Svante Gunnarsson, Mikael Norrlöf

Citations: 41 • 2014

A fast approach to novelty detection in video streams using recursive density estimation

Ramin Ramezani, Plamen Angelov, Xiaowei Zhou

Citations: 37 • 2008

A Data-driven Method for Monitoring Systems that Operate Repetitively -Applications to Wear Monitoring in an Industrial Robot Joint

André Carvalho Bittencourt, Kari Saarinen, Shiva Sander-Tavallaey

Citations: 24 • 2012

Detecting and solving the kidnapped robot problem using laser range finder and wifi signal

Yiploon Seow, Renato Miyagusuku, Atsushi Yamashita, Hajime Asama

Citations: 22 • 2017

Probabilistic Contact State Estimation for Legged Robots using Inertial Information

Michael Maravgakis, Despina-Ekaterini Argiropoulos, Stylianos M. Piperakis, Panos Trahanias

Citations: 21 • 2023

Enabling learning from large datasets: applying active learning to mobile robotics

Cristian Dima, Martial Hebert, Anthony Stentz

Citations: 19 • 2004

Unsupervised surgical data alignment with application to automatic activity annotation

Yixin Gao, S. Swaroop Vedula, Gyusung I. Lee, Mija R. Lee, Sanjeev Khudanpur, Gregory D. Hager

Citations: 18 • 2016

Fast Kernel Density Estimation Using Gaussian Filter Approximation

Markus Bullmann, Toni Fetzer, Frank Ebner, Frank Deinzer, Marcin Grzegorzek

Citations: 16 • 2018

Three-Dimensional Statistical Gas Distribution Mapping in an Uncontrolled Indoor Environment

Matteo Reggente, Achim J. Lilienthal, Matteo Pardo, Giorgio Sberveglieri

Citations: 16 • 2009

Kernel density estimation based self-learning sampling strategy for motion planning of repetitive tasks

Thomas Fridolin Iversen, Lars‐Peter Ellekilde

Citations: 15 • 2016

Gaussian-Based Kernel for Multi-Agent Aerial Chemical-Plume Mapping

Xiang He, Jake A. Steiner, Joseph R. Bourne, Kam K. Leang

Citations: 14 • 2019

Bayesian Kernel Shaping for Learning Control

Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal

Citations: 14 • 2008

Numerical fitting‐based likelihood calculation to speed up the particle filter

Citations: 10 • 2015

Direct conditional probability density estimation with sparse feature selection

M. Shiga, Voot Tangkaratt, Masashi Sugiyama

Citations: 10 • 2015

An Efficient Statistical Strategy to Monitor a Robot Swarm

Fouzi Harrou, Belkacem Khaldi, Ying Sun, Foudil Cherif

Citations: 9 • 2019

Fast Monte Carlo Localization using spatial density information

Renan Maffei, Vitor A. M. Jorge, Vítor Fortes Rey, Mariana Kolberg, Edson Prestes

Citations: 9 • 2015