论文标题
MAV开发在未知和黑暗采矿隧道中导航
MAV Development Towards Navigation in Unknown and Dark Mining Tunnels
论文作者
论文摘要
采矿行业认为,MAV的部署用于自动检查隧道和轴,以提高安全性和生产力。但是,矿山是充满挑战和严峻的环境,对随着时间的推移的高端和昂贵利用组件的退化有直接影响。受此影响的启发,本文提出了一个低成本和模块化平台,用于设计完全自动的导航MAV,而无需从周围环境中获得任何先前的信息。拟议的航空车辆的设计可被视为可消耗的平台,可以在损坏或缺陷的情况下立即替换,因此与采矿公司的愿景一致,以利用稳定的空中机器人以合理的成本使用。在拟议的设计中,操作员可以访问所有机载数据,从而增加了设计的整体自定义和矿山检查任务的执行。 MAV平台具有基于ROS在Aaeon上板上运行的软件核心,而与高端和昂贵平台相比,它配备了传感器套件,可以完成自主导航。
The Mining industry considers the deployment of MAV for autonomous inspection of tunnels and shafts to increase safety and productivity. However, mines are challenging and harsh environments that have a direct effect on the degradation of high-end and expensive utilized components over time. Inspired by this effect, this article presents a low cost and modular platform for designing a fully autonomous navigating MAV without requiring any prior information from the surrounding environment. The design of the proposed aerial vehicle can be considered as a consumable platform that can be instantly replaced in case of damage or defect, thus comes into agreement with the vision of mining companies for utilizing stable aerial robots with reasonable cost. In the proposed design, the operator has access to all on-board data, thus increasing the overall customization of the design and the execution of the mine inspection mission. The MAV platform has a software core based on ROS operating on an Aaeon UP-Board, while it is equipped with a sensor suite to accomplish the autonomous navigation equally reliable when compared to high-end and expensive platforms.