Front-facing camera data from Minicam's pipe navigation robot in concrete pipes

<b>This directory contains data captured by the front-facing camera of a Minicam robot navigating in</b><b> a 5-meter concrete pipe network. The network consists of two 2.5-meter concrete pipe sections. </b><b>Details for each measurement can be found in the .README file included in the folder.</b>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

本目录收录了Minicam机器人（Minicam robot）在5米长混凝土管网中导航时，其前置摄像头采集到的数据。该管网由两段2.5米长的混凝土管道构成。每次测量的详细信息可参阅文件夹内的README文件。
本次数据采集旨在攻克特征稀疏的管网环境下精准导航、建图与巡检所面临的技术挑战。本数据集包含以下内容：
1. 机器人导航过程中采集的视觉数据；
2. 管网相关信息，包括尺寸、材质与结构参数；
3. 机器人运行速度及摄像头光照水平的详细记录。
本数据集旨在支撑自主机器人领域的研发工作，尤其针对受限环境下的导航、建图与巡检任务，可应用于计算机视觉、视觉里程计及算法开发等方向。
贡献者：阿里斯蒂迪斯·卡内齐斯博士、肖恩·安德森博士、基里尔·霍罗申科夫教授、柳德米拉·米哈伊洛娃教授