Enabling flow awareness for mobile robots in partially observable environments
TP Kucner, M Magnusson… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
Understanding the environment is a key requirement for any autonomous robot operation.
There is extensive research on mapping geometric structure and perceiving objects …
There is extensive research on mapping geometric structure and perceiving objects …
Warped hypertime representations for long-term autonomy of mobile robots
This letter presents a novel method for introducing time into discrete and continuous spatial
representations used in mobile robotics, by modeling long-term, pseudo-periodic variations …
representations used in mobile robotics, by modeling long-term, pseudo-periodic variations …
Kinodynamic motion planning on Gaussian mixture fields
We present a mobile robot motion planning approach under kinodynamic constraints that
exploits learned perception priors in the form of continuous Gaussian mixture fields. Our …
exploits learned perception priors in the form of continuous Gaussian mixture fields. Our …
[图书][B] Probabilistic mapping of spatial motion patterns for mobile robots
This book focuses on the topic of building spatial models that show patterns of dynamics in
the environment and using these models for solving the problem of mobile robot motion …
the environment and using these models for solving the problem of mobile robot motion …
JCLMM: A finite mixture model for clustering of circular-linear data and its application to psoriatic plaque segmentation
The hue and chroma components of an image pixel carry crucial information that can be
exploited to perform segmentation. However, due to its directional property, a circular …
exploited to perform segmentation. However, due to its directional property, a circular …
An HMM framework based on spherical-linear features for online cursive handwriting recognition
In this paper a Hidden Markov Model (HMM) based writer independent online unconstrained
handwritten word recognition scheme is proposed. The main steps here are segmentation of …
handwritten word recognition scheme is proposed. The main steps here are segmentation of …
Fast optimal circular clustering and applications on round genomes
Round genomes are found in bacteria, plant chloroplasts, and mitochondria. Genetic or
epigenetic marks can present biologically interesting clusters along a circular genome. The …
epigenetic marks can present biologically interesting clusters along a circular genome. The …
Directional statistics and filtering using libDirectional
In this paper, we present libDirectional, a MATLAB library for directional statistics and
directional estimation. It supports a variety of commonly used distributions on the unit circle …
directional estimation. It supports a variety of commonly used distributions on the unit circle …
Review on circular-linear regression models
HH Mohammad, SZ Satari… - Journal of Physics …, 2021 - iopscience.iop.org
Classical linear statistics method is no longer appropriate when handling circular data since
the data is influenced by direction or angle. Considering the possibility of circular data …
the data is influenced by direction or angle. Considering the possibility of circular data …
[HTML][HTML] A Dirichlet process model for directional-linear data with application to bloodstain pattern analysis
T Zou, HS Stern - Computational Statistics & Data Analysis, 2025 - Elsevier
Directional data require specialized models because of the non-Euclidean nature of their
domain. When a directional variable is observed jointly with linear variables, modeling their …
domain. When a directional variable is observed jointly with linear variables, modeling their …