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Jonathan M. Aitken

2 accepted papers

2023

Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity

RA-L 2023

This work proposes a novel visual Simultaneous Localisation and Mapping (vSLAM) approach for robots in sewer pipe networks. One problem of vSLAM in pipes is that the scale drifts and accuracy degrades. We propose the use of structural information to mitigate this problem via cylindrical regularity.

Cited by 13SourceScholar
2021

Robust top-down and bottom-up visual saliency for mobile robots using bio-inspired design principles

IROS 2021poster

Modern camera systems in robotics tend to pro-duce overwhelming amounts of visual information due to their high resolutions and high frame rates. This raises a fundamental question of how robots should focus attention on a region of the visual scene, and how they should process information in the pe…

Cited by 0SourceScholar