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
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