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Rapid free-space mapping from a single omnidirectional camera

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Title: Rapid free-space mapping from a single omnidirectional camera
Authors: Lukierski, R
Leutenegger, S
Davison, AJ
Item Type: Conference Paper
Abstract: © 2015 IEEE.Low-cost robots such as floor cleaners generally rely on limited perception and simple algorithms, but some new models now have enough sensing capability and computation power to enable Simultaneous Localisation And Mapping (SLAM) and intelligent guided navigation. In particular, computer vision is now a serious option in low cost robotics, though its use to date has been limited to feature-based mapping for localisation. Dense environment perception such as free space finding has required additional specialised sensors, adding expense and complexity. Here we show that a robot with a single passive omnidirectional camera can perform rapid global free-space reasoning within typical rooms. Upon entering a new room, the robot makes a circular movement to capture a closely-spaced omni image sequence with disparity in all horizontal directions. A feature-based visual SLAM procedure obtains accurate poses for these frames before passing them to a dense matching step, 3D semi-dense reconstruction and visibility reasoning. The result is turned into a 2D occupancy map, which can be improved and extended if necessary through further movement. This rapid, passive technique can capture high quality free space information which gives a robot a global understanding of the space around it. We present results in several scenes, including quantitative comparison with laser-based mapping.
Issue Date: 2-Sep-2015
Date of Acceptance: 2-Sep-2015
URI: http://hdl.handle.net/10044/1/33983
DOI: http://dx.doi.org/10.1109/ECMR.2015.7324222
ISBN: 9781467391641
Publisher: IEEE
Start Page: 1
End Page: 8
Journal / Book Title: Proceedings of the 2015 European Conference on Mobile Robots (ECMR)
Copyright Statement: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Dyson Technology Limited
Dyson Technology Limited
Funder's Grant Number: PO: 4500098215
PO 4500189049
Conference Name: 2015 European Conference on Mobile Robots (ECMR)
Publication Status: Published
Start Date: 2015-09-02
Finish Date: 2015-09-04
Conference Place: Lincoln, UK
Appears in Collections:Faculty of Engineering
Computing



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