%0 Conference Proceedings
%F Meilland12a
%A Meilland, M.
%A Rives, P.
%A I. Comport, A.
%T Dense RGB-D mapping of large scale environments for real-time localisation and autonomous navigation
%B Intelligent Vehicle (IV'12) Workshop on Navigation, Perception, Accurate Positioning and Mapping for Intelligent Vehicles
%C Alcala de Henares, Spain
%X This paper presents a method and apparatus for building 3D dense visual maps of large scale environments for real-time localisation and autonomous navigation. We propose a spherical ego-centric representation of the environment which is able to reproduce photo-realistic omnidirectional views of captured environments. This representation is composed of a graph of locally accurate augmented spherical panoramas that allows to generate varying viewpoints through novel view synthesis. The spheres are related by a graph of 6 d.o.f. poses which are estimated through multi-view spherical registration. It is shown that this representation can be used to accurately localise a vehicle navigating within the spherical graph, using only a monocular camera for accurate localisation. To perform this task, an efficient direct image registration technique is employed. This approach directly exploits the advantages of the spherical representation by minimising a photometric error between a current image and a reference sphere. Autonomous navigation results are shown in challenging urban environ- ments, containing pedestrians and other vehicles
%U http://www.irisa.fr/lagadic/pdf/2012_iv_meilland.pdf
%8 June
%D 2012