Digital Twin-Driven Multistorey Mapping with Cooperative Micro Aerial Vehicles
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Micro aerial vehicle (MAV) swarms have strong potential for indoor mapping. However, most studies adopt a single-altitude strategy, which flies all MAVs at the same height, flattening the vertical structure and limiting the map's expressiveness. They also often lack a unified interface for real-time interaction and state monitoring. To address these gaps, we propose a digital twin-driven, multi-MAV, multistorey mapping pipeline that operates with minimal sensing. The system consists of a Digital Twin-based Controller, a Mapping Service, and a Digital Twin Web Service. The Mapping Service integrates a Map Bug exploration policy and a Downwash Avoidance policy, and leverages a Single Map Merge Service together with a TF Broadcaster to organize altitude layers and their spatial frames. We validate the approach in a physical indoor testbed. The pipeline enables multiple MAVs to capture complementary, height-dependent environmental features and produce layered indoor maps, while the digital twin provides real-time, interactive supervision of mission execution and vehicle states.
Details
| Original language | English |
|---|---|
| Title of host publication | Drones and Unmanned Systems |
| Editors | Sergey Y. Yurish |
| Publisher | IFSA Publishing, S. L. |
| Pages | 11-17 |
| ISBN (electronic) | 978-84-09-82031-3 |
| Publication status | Published - 25 Feb 2026 |
| Peer-reviewed | Yes |
Conference
| Title | 2nd International Conference on Drones and Unmanned Systems |
|---|---|
| Abbreviated title | DAUS' 2026 |
| Conference number | 2 |
| Duration | 25 - 27 February 2026 |
| Website | |
| Degree of recognition | International event |
| Location | FourSide Hotel Salzburg |
| City | Salzburg |
| Country | Austria |
External IDs
| ORCID | /0000-0002-3513-6448/work/209582964 |
|---|---|
| ORCID | /0009-0005-2434-6318/work/209584347 |
| ORCID | /0000-0003-1840-1657/work/209584727 |