Growing neural gas with different topologies for 3D space perception
Three-dimensional space perception is one of the most important capabilities for an
autonomous mobile robot in order to operate a task in an unknown environment adaptively …
autonomous mobile robot in order to operate a task in an unknown environment adaptively …
Monitoring wound healing with contactless measurements and augmented reality
V Mamone, M Di Fonzo, N Esposito… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Objective: This work presents a device for non-invasive wound parameters assessment,
designed to overcome the drawbacks of traditional methods, which are mostly rough …
designed to overcome the drawbacks of traditional methods, which are mostly rough …
Growing self-reconstruction maps
RLME Rego, AFR Araújo… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
In this paper, we propose a new method for surface reconstruction based on growing self-
organizing maps (SOMs), called growing self-reconstruction maps (GSRMs). GSRM is an …
organizing maps (SOMs), called growing self-reconstruction maps (GSRMs). GSRM is an …
[PDF][PDF] Multi-scale batch-learning growing neural gas for topological feature extraction in navigation of mobility support robots
Recently, the concept of digital twin is applied to various research topics. The aim of digital
twin is to simulate and analyze the real world in the cyber space. In order to simulate a real …
twin is to simulate and analyze the real world in the cyber space. In order to simulate a real …
A directed batch growing approach to enhance the topology preservation of self-organizing map
M Vasighi, H Amini - Applied Soft Computing, 2017 - Elsevier
The growing self-organizing map (GSOM) possesses effective capability to generate feature
maps and visualizing high-dimensional data without pre-determining their size. Most of the …
maps and visualizing high-dimensional data without pre-determining their size. Most of the …
Autonomous growing neural gas for applications with time constraint: optimal parameter estimation
J García-Rodríguez, A Angelopoulou… - Neural Networks, 2012 - Elsevier
This paper aims to address the ability of self-organizing neural network models to manage
real-time applications. Specifically, we introduce fAGNG (fast Autonomous Growing Neural …
real-time applications. Specifically, we introduce fAGNG (fast Autonomous Growing Neural …
Using GNG to improve 3D feature extraction—Application to 6DoF egomotion
Several recent works deal with 3D data in mobile robotic problems, eg mapping or
egomotion. Data comes from any kind of sensor such as stereo vision systems, time of flight …
egomotion. Data comes from any kind of sensor such as stereo vision systems, time of flight …
Combining visual features and growing neural gas networks for robotic 3D SLAM
The use of 3D data in mobile robotics provides valuable information about the robot's
environment. Traditionally, stereo cameras have been used as a low-cost 3D sensor …
environment. Traditionally, stereo cameras have been used as a low-cost 3D sensor …
Surveillance and human–computer interaction applications of self-growing models
J García-Rodríguez, JM García-Chamizo - Applied Soft Computing, 2011 - Elsevier
The aim of the work is to build self-growing based architectures to support visual
surveillance and human–computer interaction systems. The objectives include: identifying …
surveillance and human–computer interaction systems. The objectives include: identifying …
High speed vision-based 3D reconstruction of continuum robots
MM Dalvand, S Nahavandi… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Continuum robots offer better maneuverability and inherent compliance and are well-suited
for surgical applications as catheters where gentle interaction with the environment is …
for surgical applications as catheters where gentle interaction with the environment is …