NOVEL 3D MATCHING SELF-LOCALISATION ALGORITHM
NOVEL 3D MATCHING SELF-LOCALISATION ALGORITHM
dc.contributor.author | Aníbal Matos | en |
dc.contributor.author | Miguel Armando Pinto | en |
dc.contributor.author | António Paulo Moreira | en |
dc.contributor.author | Héber Miguel Sobreira | en |
dc.date.accessioned | 2017-11-16T13:55:17Z | |
dc.date.available | 2017-11-16T13:55:17Z | |
dc.date.issued | 2012 | en |
dc.description.abstract | A new and fast methodology is discussed as a solution to pinpointing the location of a robot called RobVigil, in a robust way, without environment preparation, even in dynamic scenarios. This solution does not require a high computational power. Firstly, the EKF-SLAM is used to find the location of the vehicle, allowing to map the surrounding area in the 3D space. Afterwards, the constructed map is used in a 3D matching algorithm during the normal operation of the vehicle to pinpoint its location. The 3D matching algorithm uses data from a tilting Laser Range Finder. Experimental results on the performance and accuracy of the proposed method are presented in this paper. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/2629 | |
dc.language | eng | en |
dc.relation | 5157 | en |
dc.relation | 5158 | en |
dc.relation | 5239 | en |
dc.relation | 5424 | en |
dc.rights | info:eu-repo/semantics/embargoedAccess | en |
dc.title | NOVEL 3D MATCHING SELF-LOCALISATION ALGORITHM | en |
dc.type | article | en |
dc.type | Publication | en |