Autonomous Flights Inside Narrow Tunnels

IF 9.4 1区 计算机科学 Q1 ROBOTICS
Luqi Wang;Yan Ning;Hongming Chen;Peize Liu;Yang Xu;Hao Xu;Ximin Lyu;Shaojie Shen
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引用次数: 0

Abstract

Multirotors are usually desired to enter confined narrow tunnels that are barely accessible to humans in various applications including inspection, search and rescue, and so on. This task is extremely challenging since the lack of geometric features and illuminations, together with the limited field of view, cause problems in perception; the restricted space and significant ego airflow disturbances induce control issues. This article introduces an autonomous aerial system designed for navigation through tunnels as narrow as 0.5 m in diameter. The real-time and online system includes a virtual omni-directional perception module tailored for the mission and a novel motion planner that incorporates perception and ego airflow disturbance factors modeled using camera projections and computational fluid dynamics analyses, respectively. Extensive flight experiments on a custom-designed quadrotor are conducted in multiple realistic narrow tunnels to validate the superior performance of the system, even over human pilots, proving its potential for real applications. In addition, a deployment pipeline on other multirotor platforms is outlined and open-source packages are provided for future developments.
狭窄隧道内的自动飞行
多旋翼机通常需要进入人类几乎无法进入的狭窄隧道,用于各种应用,包括检查,搜索和救援等。这项任务极具挑战性,因为缺乏几何特征和照明,加上有限的视野,会导致感知问题;有限的空间和显著的自我气流干扰引起控制问题。本文介绍了一种自主航空系统,设计用于通过直径为0.5米的狭窄隧道。实时和在线系统包括一个为任务量身定制的虚拟全方位感知模块和一个新颖的运动规划器,该运动规划器结合了感知和自我气流干扰因素,分别使用摄像机投影和计算流体动力学分析建模。在一个定制的四旋翼上进行了大量的飞行实验,在多个现实的狭窄隧道中进行,以验证该系统的优越性能,甚至超过人类飞行员,证明其实际应用的潜力。此外,还概述了在其他多旋翼平台上的部署管道,并为未来的开发提供了开源软件包。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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