RT Conference Proceedings
T1 Automatic Generation of Labeled 3D Point Clouds of Natural Environments with Gazebo.
A1 Sánchez, Manuel
A1 Martínez-Rodríguez, Jorge Luis
A1 Morales-Rodríguez, Jesús
A1 Robles, Alfredo
A1 Moran Prados, Mariano
K1 Vehículos autodirigidos
K1 Aprendizaje automático (Inteligencia artificial)
AB Progress in applying supervised learning for nat- ural scene classification is impeded by the lack of appropriate datasets for training. This paper describes the automatic generation of synthetic three-dimensional (3D) scans of natural environments with each point labelled individually with its element class. The developed software employs the robotic simulator Gazebo to obtain range and intensity measurements from a 3D laser rangefinder aboard a ground mobile robot. Precisely, the returned intensity values are used to annotate every 3D point within its corresponding class 100% error free. Several examples are provided to show the utility of the proposed approach.
PB IEEE
YR 2019
FD 2019-05-27
LK https://hdl.handle.net/10630/29607
UL https://hdl.handle.net/10630/29607
LA eng
NO M. Sánchez, J. L. Martínez, J. Morales, A. Robles and M. Morán, "Automatic Generation of Labeled 3D Point Clouds of Natural Environments with Gazebo," 2019 IEEE International Conference on Mechatronics (ICM), Ilmenau, Germany, 2019, pp. 161-166, doi: 10.1109/ICMECH.2019.8722866.
NO https://conferences.ieeeauthorcenter.ieee.org/author-ethics/guidelines-and-policies/post-publication-policies/#preprint
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026