Once more AI4CCAM goes on stage!
Badis Hammi, Telecom SudParis, will be presenting remotely the accepted Paper “OTARQ: Adaptive and Automated Risk Quantification Method for OTA Updates in SDVs” at the 23rd Annual International Conference on Privacy, Security & Trust (PST).
The Paper has been shortlisted for the “Fortinet Excellence in Practice Award”! Fingers crossed!
The 23rd Annual International Conference on Privacy, Security & Trust (PST) provides a premier forum for sharing advances in cybersecurity research and security applications. PST2026 will be held 26/28 August in Ottawa, Canada, and will offer one industry day followed by two days of keynotes and technical presentations focused on Privacy, Security, and Trust, along with a special track on Emerging Technologies and Trends.
AI4CCAM ended in March but it’s still on stage!
16-18 July, AI4CCAM will be attending 23rd International Conference on Security and Cryptography (SECRYPT 2026) in Porto, Portugal, the event focusing on theoretical and practical aspects of data protection, privacy, and applied cryptography.
Marwan Lazrag, Telecom SudParis, will present the recently approved Paper “Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles”: poisoning attacks against public datasets lead to major concerns, such as misclassification of perceived objects when the poisoned data is used for training and embedding of backdoors that may eventually be triggered later on, when specific conditions in the system apply over the learned models. Its impact over data augmentation models is unclear. While data augmentation reduces the likelihood of poisoning attack success, some valid questions remain.
Is data augmentation affecting the impact of poisoning attacks? Can it increase the number of poisoned samples or injected backdoors? The Paper explores some of these questions, assessing the effects of augmenting poisoned 3D point cloud datasets and validate that poisoning is able to evade the sanitizing nature of augmentation techniques when using the concrete case of Generative Adversarial Network (GAN) techniques to exemplify the case of data augmentation processing.
The Transport Research Arena (TRA) is Europe’s flagship transport research and innovation conference, initiated by the European Commission and key stakeholders. It is the largest European conference of its kind, covering all transport modes and mobility aspects. As a premier forum for European transport innovation, TRA 2026 gathers academia, industry, policymakers, and civil society to shape the future of transport research. The 2026 edition, hosted in Budapest 18-21 May, will showcase European and global know‑how and put the spotlight on young researchers and next‑generation solutions.
The theme of the 2026 edition, Re-Generation in Transport, reflects a collective call for renewal in response to social, environmental, and technological challenges. It focuses on engaging the next generation of thinkers, innovators, and leaders to drive transformation toward cleaner, more efficient, and forward-looking transport systems.
On 20 May, Arnaud Gotlieb, Simula Research Lab, and project coordinator, will be presenting AI4CCAM in the special session “Responsible Artificial Intelligence in Transportation Research and Education”: the TRA2026 is committed to shaping a “Re-Generation in Transport” that’s both innovative and inherently responsible. A cornerstone of this vision is ensuring Artificial Intelligence drives positive change without unintended harm. This session explores the critical ethical, legislative and societal implications of Artificial Intelligence in transportation. It will address how researchers can ensure AI development is fair, transparent, and safe, mitigating biases and promoting human oversight. The session will also cover integrating Responsible AI principles into transportation education, equipping future professionals to navigate complex AI challenges and leverage its potential for a more sustainable and equitable future of mobility. Discussions will highlight best practices, emerging standards, and collaborative approaches for fostering trust and accountability in AI-driven transport systems.
On 10 March, the AI4CCAM team had the pleasure of engaging in an exchange with the Mobility Innovation Alliance Japan and Intelligent Transport Systems (ITS) Japan, bringing together experts from Europe and Japan to discuss current research and future collaboration opportunities in AI-powered mobility systems.
The discussion was led by Karla Quintero (IRTSX), who presented the project’s vision and key activities, and led a fruitful discussion on trustworthy AI, research collaboration, and future synergies between the European and Japanese mobility innovation ecosystems. She was joined by Bastien Brugger (Akkodis), who shared insights into AI models and the Digital Twin developed within the project, alongside other representatives of the AI4CCAM consortium.
We would like to extend our sincere thanks to Takahiko Uchimura for facilitating this exchange and for bringing together members of the Japanese mobility innovation community and look forward to continuing this dialogue and exploring future opportunities for collaboration between our communities.
On 26 February, Arnaud Gotlieb, Simula Research Lab and project coordinator, will present AI4CCAM and its results to the SAC Expert Group of the CLEPA.
CLEPA (the European Association of Automotive Suppliers) represents over 3,000 companies in the automotive supply industry, advocating for sustainable, innovative, and competitive mobility solutions.
The EU Road Safety Cluster, also involving AI4CCAM among other EU projects, launched its new joint paper on road safety data: Advancing Road Safety Through Data: Challenges, Solutions, and Policy Insights from EU Road Safety Projects.
Bringing together challenges, solutions and policy insights from eleven EU-funded projects, this collaborative effort was initiated by the Phoebe Project.
The paper brings together lessons from eleven EU-funded projects and addresses a shared challenge: how to turn diverse and fragmented road safety data into integrated, predictive and policy-ready insights.
On behalf of AI4CCAM, the paper was co-authored by Karla Quintero, IRT-SystemX, on simulation and VR experiments to model (among others) pedestrian behaviour; and the training data that strongly affects the reliability of the AI models.
Download and read the full paper!
CCAMbassador (Connected, Cooperative and Automated MoBility Assessment & Stakeholder Dedicated and Operational awareness Raising) project is the new EC-funded Support and Coordination Action of the CCAM Partnership in accelerating the deployment of Connected, Cooperative and Automated Mobility (CCAM) across Europe.
The CCAMbassador consortium invited (ongoing and completed) CCAM project representatives attending the RTR 2026 Conference to a half-day workshop on 9 February before the conference starts.
Karla Quintero, IRT SystemX, represented AI4CCAM bringing the trustworthiness angle around artificial intelligence used in CCAM systems and shared experience around the methodology for trustworthy AI engineering, as well as results from the implemented use cases, VR experimentations, and neuroscience-based models, among other findings.
The purpose of the workshop was to exchange knowledge and insights with a focus on practical approaches, tools, and solutions implemented within CCAM projects to raise awareness, build capacity, and support readiness for CCAM piloting and future deployment. Participants shared insights, learnings, best practices, challenges from their project activities and experience, to inform the development of CCAMbassador’s common framework for CCAM awareness and capacity assessment.
Going on its 9th edition 10-12 February, in Brussels, the RTR Conference is a unique entry point into the achievements of EU-funded projects in road transport, and AI4CCAM will be there!
Once again this year, participants will learn about EU-funded and Horizon Europe projects’ results and expected impacts, and what the next research steps are in essential areas for road transport: Green Vehicles, Urban Mobility, Logistics, Intelligent Transport Systems, Safety, Automated Road Transport, Batteries.
The conference will deliver a holistic view of how the European research scene is moving forward in these fields, bringing benefits to the environment, economy, and European society overall.
On 12 February, Arnaud Gotlieb, AI4CCAM project coordinator, will be presenting the main project results during the session focused on Trustworthy CCAM, including AI.
Learn more on the event and join!
The AI4CCAM Participatory Space continues its work on the creation of a glossary of capital and common terms used in the project.
This participatory process is aimed to create a glossary of terms with the involvement of different CCAM stakeholders. The process consists of proposals of terms to be included along their definitions. Later on, discussions about the correctness of these definitions take place and a final survey to decide the best option is performed. Results are monitored and agreed definitions are incorporated to a document that represents the glossary.
This is the second release of terms and definitions related to Security and Robustness. Participants will be asked to share feedback on the correctness and understandability of the proposed definitions.
Let’s focus on:
- AI accuracy
- Scalability
- Technical interoperability
