3D Feature Extraction and Modelling for SLAM


Autoria(s): Viejo Hernando, Diego; Cazorla, Miguel
Contribuinte(s)

Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial

Robótica y Visión Tridimensional (RoViT)

Data(s)

29/11/2013

29/11/2013

01/10/2008

Resumo

Paper submitted to the 39th International Symposium on Robotics ISR 2008, Seoul, South Korea, October 15-17, 2008.

Several works deal with 3D data in mobile robotic problems. Data come from any kind of sensor providing a huge amount of unorganized 3D data. In this paper we detail an efficient method to build complete 3D models including planar surfaces and creases from a 3D scene. This information can be used to compute the movement performed by a mobile robot by means of a 3D models registration algorithm. Some promising results are shown for both outdoor and indoor environments.

This work has been supported by project DPI2005-01280 from Ministerio de Educación y Ciencia (Spain).

Identificador

http://hdl.handle.net/10045/34240

Idioma(s)

eng

Direitos

Licencia Creative Commons Reconocimiento 4.0

info:eu-repo/semantics/openAccess

Palavras-Chave #3D Feature extraction #3D Modelling #SLAM #Ciencia de la Computación e Inteligencia Artificial
Tipo

info:eu-repo/semantics/conferenceObject