Autonomous Flights inside Narrow Tunnels
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Abstract (arXiv)
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 paper 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. Additionally, a deployment pipeline on other multirotor platforms is outlined and open-source packages are provided for future developments.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 May 2025.
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Citing papers per year: 2025: 3.
3 papers.
- 2025Low-Latency Event-Based Velocimetry for Quadrotor Control in a Narrow Pipecited by 2
- 2025Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approachcited by 1
- 2025Curriculum-Based Reinforcement Learning for Autonomous UAV Navigation in Unknown Curved Tubular Conduitcited by 0
- 2025Curriculum-Based Reinforcement Learning for Autonomous UAV Navigation in Unknown Curved Tubular Conduit11 Dec 2025
- 2025Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approach22 Aug 2025
- 2025Low-Latency Event-Based Velocimetry for Quadrotor Control in a Narrow Pipe21 Jul 2025