Introduction
17:00 – 17:10
Prof. Dr. Michel Deriaz
Opening by GeoIT.org President
Welcome speech.
Session
17:15 – 17:30
Mara Diaconu
GeoIT COST Action
Session
17:30 – 18:00
Dr. Jilles van Gurp
Open RTLS: Building an Indoor Mapping Ecosystem for RTLS
Real-Time Location Systems (RTLS) enable real-time tracking of assets and people in indoor environments and are increasingly used in logistics, manufacturing, healthcare, and smart buildings. Despite growing adoption, the RTLS ecosystem remains fragmented. Hardware vendors typically provide proprietary software stacks, IoT hubs, and SDKs, forcing application developers to build vendor-specific integrations and manage inconsistent interfaces. At the same time, many RTLS implementations rely on low-quality georeferenced bitmap maps, with limited attention to usability, user experience, or scalable data structures such as vector-based indoor mapping. Furthermore, the availability of open-source tools in this domain remains limited, with most existing projects focusing primarily on low-level messaging middleware.
Session
18:00 – 18:30
Moritz Gerlowski
Automated 3D measurement and monitoring of plants using a robot-assisted thermal imaging camera.
Dieser Vortrag präsentiert ein automatisiertes, selbst entwickeltes System zur dreidimensionalen Vermessung von Pflanzen. Zu diesem Zweck wurde untersucht, inwiefern sich eine Wärmebildkamera verwenden lässt, um auf Grundlage von Thermaldaten physiologische Prozesse von Pflanzen wie Transpiration, Wasserstress oder Krankheitsbefall zu beurteilen. In Kombination mit einer dreidimensionalen Vermessung lassen sich diese Aspekte an beliebigen Positionen bestimmen. Ein wesentliches Ziel dieses Projekts liegt daher in der Entwicklung einer Aufnahmeplattform, die den bei manueller Vorgehensweise ansonsten langwierigen Prozess der dreidimensionalen Vermessung automatisiert. Ein derartiges System ermöglicht eine dynamische Erfassung von Pflanzen in hoher zeitlicher Auflösung und bietet somit Potenzial für Anwendungen in der Landwirtschaft, im Gewächshausmanagement sowie in der Pflanzenforschung.
Session
18:30 – 19:00
Madhuram Mantri
A Simulated Demonstration of a Multi-Robot Swarm Using ORB-SLAM in ROS2 with Centralized Map Merging to Reduce Drift
This presentation discusses a ROS 2–based multi-robot exploration and mapping framework developed for indoor environments, with a focus on improving efficiency, coordination, and localization robustness in autonomous swarm robotics. The work addresses a common challenge in multi-robot systems: reducing redundant exploration while maintaining reliable navigation and map consistency in unknown spaces. The proposed framework combines frontier-based exploration, centralized occupancy-grid map merging, Voronoi-based spatial partitioning, explicit goal claiming, and TF-stability-gated stopping logic to coordinate multiple robots on a shared map. In addition, the system incorporates ORB-SLAM3 as an optional visual–inertial odometry source fused through an Extended Kalman Filter to improve pose estimation and reduce drift-related failures.
Networking
19:00 – Open end