Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models

MR-GMMapping: Communication Efficient Multi-Robot Mapping System via Gaussian Mixture Model

(2022) Haolin Dong et al.   IEEE Robotics and Automation Letters

Dense Incremental Metric-Semantic Mapping for Multiagent Systems via Sparse Gaussian Process Regression

(2022) Ehsan Zobeidi et al.   IEEE Transactions on Robotics

Multi-Resolution 3D Mapping With Explicit Free Space Representation for Fast and Accurate Mobile Robot Motion Planning

(2021) Nils Funk et al.   IEEE Robotics and Automation Letters

NeRF

(2021) Ben Mildenhall et al.   COMMUNICATIONS OF THE ACM

Autonomous Cave Surveying With an Aerial Robot

(2021) Wennie Tabib et al.   IEEE Transactions on Robotics

UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown

(2020) Daniel Duberg et al.   IEEE Robotics and Automation Letters

Compression and registration of 3D point clouds using GMMs

(2018) Javier Navarrete et al.   PATTERN RECOGNITION LETTERS

Efficient, Multifidelity Perceptual Representations via Hierarchical Gaussian Mixture Models

(2018) Shobhit Srivastava et al.   IEEE Transactions on Robotics

Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent

(2016) Fabio Ramos et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

On the number of components in a Gaussian mixture model

(2014) Geoffrey J. McLachlan et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Dense scene reconstruction with points of interest

(2013) Qian-Yi Zhou et al.   ACM TRANSACTIONS ON GRAPHICS

OctoMap: an efficient probabilistic 3D mapping framework based on octrees

(2013) Armin Hornung et al.   AUTONOMOUS ROBOTS

Gaussian process occupancy maps

(2012) Simon T O’Callaghan et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Fast estimation of Gaussian mixture models for image segmentation

(2011) Nicola Greggio et al.   MACHINE VISION AND APPLICATIONS

Mean shift: An information theoretic perspective

(2008) Sudhir Rao et al.   PATTERN RECOGNITION LETTERS