SELFY PROJECT

🎉 Two papers on the #SELFYproject’s VSOC have been presented at the #SECURWARE2024! Partners from Technische Hochschule Ingolstadt Kevin Mayer and Jenny Hofbauer presented the foundation and conceptualization of the SELFY #VSOC, a pioneering solution developed by THI that aims at advancing security in Cooperative, Connected, and Automated Mobility #CCAM by collecting data, detecting threats and responding to incidents. 👉 Learn more and access the papers here: https://lnkd.in/dYT2fP2X

📢 🆕 A new #SELFYproject scientific paper has been published! The article, titled “Rating the Surrounding Vehicle-to-Everything Field, Based on Channel Utilization and Information Influence”, presents a metric for rating the quality of the surrounding V2X field in automated vehicles #AV 🚗, closing the existing performance measurement gap in previous analysis. This work is thanks to the fruitful collaboration of SELFY partners Dr. Christoph Pilz, Lukas Kuschnig, Alina Steinberger, Peter Sammer, Thomas Neumayr, Markus Schratter  from Virtual Vehicle Research GmbH Access it here: https://lnkd.in/ep_eurW6

Next Friday we will be participating in a panel about #accessibility in autonomous vehicles organised by Ceapat-Imserso. #SELFYpartner AEVAC-Asociación Española del Vehículo Autónomo Conectado will talk about how to promote and overcome accessibility in autonomous vehicles in the context of #cybersecurity. Aitor Fernández Martín https://lnkd.in/d8n2DfYZ

[ 📑New Scientific Paper] Learn about #SELFYproject tool #AuditBox, which audits the vehicles while they are circulating in a #smartcity informing if a vulnerability or jamming situation has been encountered Developed by Applus+ IDIADA and Eurecat - Centro Tecnológico https://lnkd.in/ddG4pyUN

📢 Help us build the #mobility of the future! 🚗 Take part in #SELFYproject survey, aiming at collecting knowledge to determine the most important #cybersecurity challenges in the deployment of #automatedvehicles 👉 Participate here: https://lnkd.in/d2FFA379

[#SELFYproject tools] The #V2X #Privacy Tool is designed to enhance privacy features in V2X communications. This tool ensures that the infrastructure can effectively manage changes in vehicle identities, safeguarding #CCAM against potential privacy breaches. This tool is part of SELFY project Trust Data Management System, a comprehensive suite of tools designed to establish a secure and trusted environment for data within collaborative and cooperative contexts, encompassing infrastructure, assets, and personal data from drivers and pedestrians.

[Tool for #CCAM #security] Discover the Roadside Trust Tool, securing #V2X communications by assessing the trustworthiness of V2X agents based on the content of their messages and anomalies detected. This tool is part of #SELFYproject Trust Data Management System, comprising a suite of tools designed to establish a secure and trusted environment for data within collaborative and cooperative contexts.

📢 SELFY partner from Canon Research Centre France, Maxime Cancouët, presented a project-related paper at the 2024 IEEE 100th Vehicular Technology Conference (#VTC2024-Fall). The study, titled “Evaluation of Multi-Camera-Based Localization for Accurate Collision Risk Detection”, used a #SELFYproject dataset —including video frames, LiDAR point clouds, and ground truth positions— to evaluate the accuracy of the Traffic Monitoring Tool (#TMT) in detecting collision risks between vehicles and pedestrians. 🚗 🚶♀️ 🔗Learn more in our website: https://lnkd.in/dtCPeSKr

SELFY #VSOC, a global resilience platform, including tools for decision-making in the event of a cybersecurity incident in the #CCAM ecosystem has been pitched to Turkish mobility companies Siro & Togg. Tina V., researcher, and Mar Folgueral Gomez, project manager at CARISSMA – Technische Hochschule Ingolstadt, represented SELFY at the workshop, visited Siro Energy battery manufacturing line and experienced a demonstrator of the Togg electric vehicle. https://lnkd.in/dCqCtZxn

#CCAM. On the 10th of October, the CCAM Association Multicluster Meeting took place in Brussels, focusing on enhancing collaboration between large-scale demonstrations and various clusters within the #CCAM Partnership. AI4CCAM, being a part of “Cluster 5: Key Enabling Technologies”, contributed to the discussion on how the project’s outcomes can support large-scale demonstrations across Europe, centering on the four major results expected from the project. Find out more! https://lnkd.in/df58qx78 CINEA - European Climate, Infrastructure and Environment Executive Agency SELFY PROJECT Connected Automated Driving in Europe