We are delighted to share that a new scientific paper developed as part of the Intelliway project has been published and received a Best Paper Award at the 2024 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).
The paper, titled “ML-Based Forest Road Classification Based on Car Attached Ultrasonic Sensors”, demonstrates how the iFOS measuring lance and machine learning can be used to assess forest road conditions in a scalable and efficient way — paving the way for improved infrastructure monitoring in forestry operations.
It was authored by Gesa Götte, Simon Baier, Ina Ehrhardt, Andreas Herzog, and Martin Ziesak. We sincerely thank all co-authors and project contributors for their outstanding work and collaboration.
Conference: MetroAgriFor 2024 (29–31 October 2024)
Published in IEEE Xplore: April 11, 2025
DOI: 10.1109/MetroAgriFor63043.2024.10948810
