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LAPS - Localisation using Appearance of Prior Structure: 6-DoF Monocular Camera Localisation using Prior Pointclouds

Abstract:
This paper is about pose estimation using monocular cameras with a 3D laser pointcloud as a workspace prior. We have in mind autonomous transport systems in which low cost vehicles equipped with monocular cameras are furnished with preprocessed 3D lidar workspaces surveys. Our inherently cross-modal approach offers robustness to changes in scene lighting and is computationally cheap. At the heart of our approach lies inference of camera motion by minimisation of the Normalised Information Distance (NID) between the appearance of 3D lidar data reprojected into overlapping images. Results are presented which demonstrate the applicability of this approach to the localisation of a camera against a lidar pointcloud using data gathered from a road vehicle. © 2012 IEEE.
Publication status:
Published

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Publisher copy:
10.1109/ICRA.2012.6224750

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Journal:
2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) More from this journal
Pages:
2625-2632
Publication date:
2012-01-01
DOI:
ISSN:
1050-4729


Language:
English
Pubs id:
pubs:348857
UUID:
uuid:f56e27dd-aec0-4ab2-b9c5-3d20ebe7d575
Local pid:
pubs:348857
Source identifiers:
348857
Deposit date:
2013-11-17
ARK identifier:

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