This repository contains data captured by the front-facing camera of a Minicam robot navigating confined pipe environments. The data was collected as efforts to address the challenges of accurate navigation, mapping and inspection within feature-sparse pipe networks.
The dataset includes:
Visual data captured during robot navigation.
Information about the pipe network, including dimensions, material and structure.
Details of the robot velocity and the camera's luminosity level.
This dataset is intended to support research and development in autonomous robotics, particularly for navigation, mapping and inspection tasks in confined environments. It can be used for computer vision applications, visual odometry and algorithm development.
Contributors:
Dr Aristeidis Karnezis, Dr Sean Anderson, Professor Kirill Horoshenkov, Professor Lyudmila Mihaylova
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Karnezis, Aristeidis; Anderson, Sean; Horoshenkov, Kirill; Mihaylova, Lyudmila (2025). A Repository Containing Front-Facing Camera Data from Minicam's Pipe Navigation Robot. The University of Sheffield. Collection. https://doi.org/10.15131/shef.data.c.7623536.v2
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FUNDING
This work was supported by the U.K. Engineering and Physical Sciences Research Council Pipebots Programme under Grant EP/S016813/1 and EPSRC IAA project "Robot Navigation inside Pipe Networks – Pipebots Impact Case Study".