Long Duration Inspection of GNSS-Denied Environments with a Tethered UAV-UGV Marsupial System

TL;DR

This paper introduces a tethered UAV-UGV system designed for long-duration inspections in GNSS-denied environments, extending UAV operational time via tethered power and demonstrating robust autonomous capabilities through extensive field testing.

Contribution

The work presents a novel tethered UAV-UGV system with a full hardware and software stack, enabling autonomous, long-duration inspections in GNSS-denied areas, validated through comprehensive experiments.

Findings

System extends UAV operational time significantly.

Localization and trajectory tracking are validated successfully.

System demonstrates robust autonomous inspection in GNSS-denied environments.

Abstract

Unmanned Aerial Vehicles (UAVs) have become essential tools in inspection and emergency response operations due to their high maneuverability and ability to access hard-to-reach areas. However, their limited battery life significantly restricts their use in long-duration missions. This paper presents a tethered marsupial robotic system composed of a UAV and an Unmanned Ground Vehicle (UGV), specifically designed for autonomous, long-duration inspection tasks in Global Navigation Satellite System (GNSS)-denied environments. The system extends the UAV's operational time by supplying power through a tether connected to high-capacity battery packs carried by the UGV. Our work details the hardware architecture based on off-the-shelf components to ensure replicability and describes our full-stack software framework used by the system, which is composed of open-source components and built upon the Robot Operating System (ROS). The proposed software architecture enables precise localization using a Direct LiDAR Localization (DLL) method and ensures safe path planning and coordinated trajectory tracking for the integrated UGV-tether-UAV system. We validate the system through three sets of field experiments involving (i) three manual flight endurance tests to estimate the operational duration, (ii) three experiments for validating the localization and the trajectory tracking systems, and (iii) three executions of an inspection mission to demonstrate autonomous inspection capabilities. The results of the experiments confirm the robustness and autonomy of the system in GNSS-denied environments. Finally, all experimental data have been made publicly available to support reproducibility and to serve as a common open dataset for benchmarking.