Remote Autonomy for Multiple Small Lowcost UAVs in GNSS-denied Search and Rescue Operations

Fuente: arXiv
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Autores principales: Schleich, Daniel, Quenzel, Jan, Behnke, Sven
Formato: Preprint
Publicado: 2025
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author Schleich, Daniel
Quenzel, Jan
Behnke, Sven
author_facet Schleich, Daniel
Quenzel, Jan
Behnke, Sven
contents In recent years, consumer-grade UAVs have been widely adopted by first responders. In general, they are operated manually, which requires trained pilots, especially in unknown GNSS-denied environments and in the vicinity of structures. Autonomous flight can facilitate the application of UAVs and reduce operator strain. However, autonomous systems usually require special programming interfaces, custom sensor setups, and strong onboard computers, which limits a broader deployment. We present a system for autonomous flight using lightweight consumer-grade DJI drones. They are controlled by an Android app for state estimation and obstacle avoidance directly running on the UAV's remote control. Our ground control station enables a single operator to configure and supervise multiple heterogeneous UAVs at once. Furthermore, it combines the observations of all UAVs into a joint 3D environment model for improved situational awareness.
format Preprint
id arxiv_https___arxiv_org_abs_2510_21357
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Remote Autonomy for Multiple Small Lowcost UAVs in GNSS-denied Search and Rescue Operations
Schleich, Daniel
Quenzel, Jan
Behnke, Sven
Robotics
In recent years, consumer-grade UAVs have been widely adopted by first responders. In general, they are operated manually, which requires trained pilots, especially in unknown GNSS-denied environments and in the vicinity of structures. Autonomous flight can facilitate the application of UAVs and reduce operator strain. However, autonomous systems usually require special programming interfaces, custom sensor setups, and strong onboard computers, which limits a broader deployment. We present a system for autonomous flight using lightweight consumer-grade DJI drones. They are controlled by an Android app for state estimation and obstacle avoidance directly running on the UAV's remote control. Our ground control station enables a single operator to configure and supervise multiple heterogeneous UAVs at once. Furthermore, it combines the observations of all UAVs into a joint 3D environment model for improved situational awareness.
title Remote Autonomy for Multiple Small Lowcost UAVs in GNSS-denied Search and Rescue Operations
topic Robotics
url https://arxiv.org/abs/2510.21357