<p dir="ltr"><b>This directory contains data captured by the front-facing camera of a Minicam robot navigating in</b><b> multiple plastic pipe networks. The first network includes two 3-meter plastic pipe sections, the second network includes four 3-meter plastic pipe sections, and the third network includes six 3-meter plastic pipes and one 2-meter plastic pipe section. Detailed measurement information can be found </b><b>in the .README file included in each folder.</b></p><p dir="ltr">The data was collected as efforts to address the challenges of accurate navigation, mapping and inspection within feature-sparse pipe networks.</p><p dir="ltr">The dataset includes:</p><ul><li>Visual data captured during robot navigation.</li><li>Information about the pipe network, including dimensions, material and structure.</li><li>Details of the robot velocity and the camera's luminosity level.</li></ul><p dir="ltr">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.</p><h4>Contributors:</h4><p dir="ltr">Dr Aristeidis Karnezis, Dr Sean Anderson, Professor Kirill Horoshenkov, Professor Lyudmila Mihaylova</p>
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".
History
Ethics
There is no personal data or any that requires ethical approval
Policy
The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
The uploaded data can be shared openly
Data description
The file formats are open or commonly used
Methodology, headings and units
There is a file including methodology, headings and units, such as a readme.txt
Responsibility
The depositor is responsible for the content and sharing of the attached files