Automatic image scaling for place recognition in changing environments

Pepperell, Edward, Corke, Peter, & Milford, Michael (2015) Automatic image scaling for place recognition in changing environments. In Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA 2015), IEEE, Washington State Convention Center, Seattle, WA, pp. 1118-1124.

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Abstract

Robustness to variations in environmental conditions and camera viewpoint is essential for long-term place recognition, navigation and SLAM. Existing systems typically solve either of these problems, but invariance to both remains a challenge. This paper presents a training-free approach to lateral viewpoint- and condition-invariant, vision-based place recognition. Our successive frame patch-tracking technique infers average scene depth along traverses and automatically rescales views of the same place at different depths to increase their similarity. We combine our system with the condition-invariant SMART algorithm and demonstrate place recognition between day and night, across entire 4-lane-plus-median-strip roads, where current algorithms fail.

Impact and interest:

3 citations in Scopus
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53 since deposited on 28 May 2015
11 in the past twelve months

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ID Code: 84553
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Place recognition, Localisation, Navigation
DOI: 10.1109/ICRA.2015.7139316
ISBN: 978-1-4799-6924-1
Divisions: Current > Research Centres > ARC Centre of Excellence for Robotic Vision
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2015 [Please consult the author]
Deposited On: 28 May 2015 22:33
Last Modified: 13 Sep 2016 16:45

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