Over the past months, the SETO project has been actively showcased at key technical workshops:
At the Club Imagerie 2025 workshop (Cerema Centre-EST, Bron), the Infrastructure et Adhérence (IA) group introduced SETO’s cutting-edge approach to enforcing overloaded vehicle regulations. The team highlighted the use of weigh-in-motion (WIM) and onboard weighing solutions for direct enforcement and presented a camera-AI based method for detecting lifted truck axles. This method, leveraging AI-driven image processing, has shown promising early results in improving truck classification and compliance monitoring.
At JTR2025 (Nantes), Cerema, alongside Université Gustave Eiffel and ATLANDES, detailed three innovative approaches under study for detecting lifted truck axles:
1️⃣ Inductive Loops – A cost-effective and durable method, though requiring road closures for installation.
2️⃣ Camera-AI Based Detection – Using convolutional neural networks (CNNs) to provide ground truth, but sensitive to weather conditions and requiring extensive training data.
3️⃣ Combined Method – Integrating multiple technologies, such as bending plates and piezoelectric sensors, for enhanced precision and accuracy, though at a higher implementation cost.
Additionally, Cerema shared insights on the impacts of increased truck weight and size on road infrastructure and safety.
SETO Consortium Meets in Belgium to Drive Final Phase of the Project
July 21, 2025
SETO partners gathered in Ypres and Ghent from 2–4 July for a productive in-person Consortium Meeting, as part of the Horizon Europe-funded
