Neither Fast Nor Slow: How to Fly Through Narrow Tunnels
Luqi Wang, Hao Xu, Yichen Zhang, Shaojie Shen

TL;DR
This paper presents an autonomous multirotor system capable of smoothly navigating through narrow tunnels by generating optimized trajectories and analyzing flight dynamics, addressing control and perception challenges in confined spaces.
Contribution
It introduces a complete system with a motion planner for smooth trajectories and practical speed range estimation, validated through extensive real-world tunnel flights.
Findings
Successful autonomous flights in tunnels as narrow as 0.6 m
Trajectory planning based on Euclidean Distance Field
Flight data analysis informs speed and control strategies
Abstract
Nowadays, multirotors are playing important roles in abundant types of missions. During these missions, entering confined and narrow tunnels that are barely accessible to humans is desirable yet extremely challenging for multirotors. The restricted space and significant ego airflow disturbances induce control issues at both fast and slow flight speeds, meanwhile bringing about problems in state estimation and perception. Thus, a smooth trajectory at a proper speed is necessary for safe tunnel flights. To address these challenges, in this letter, a complete autonomous aerial system that can fly smoothly through tunnels with dimensions narrow to 0.6 m is presented. The system contains a motion planner that generates smooth mini-jerk trajectories along the tunnel center lines, which are extracted according to the map and Euclidean Distance Field (EDF), and its practical speed range is…
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Taxonomy
TopicsPlasma and Flow Control in Aerodynamics · Evacuation and Crowd Dynamics · Robotic Path Planning Algorithms
