The AI4CCAM Participatory Space is working 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.
To avoid redundancy and possible contradictions, the AI4CCAM glossary aims to eventually complement the existing CCAM glossary, which is available online and currently contains a total of 382 terms.
The Participatory Space reached the second release of terms and definitions related to Artificial Intelligence. Participants will be asked to share feedback on the correctness and understandability of the proposed definitions. This month we are sharing 4 terms and definitions related to Artificial Intelligence.
The glossary is dedicated to the connected, cooperative automated driving field and it has been established according to the taxonomy created as part of the FAME project. The main goal of this taxonomy is to establish a standardised terminology classification for CCAM.
Get more information on the Glossary and join the activity!
Learn more on the Participatory Space!
AI4CCAM will actively be involved in the next EUCAD!
The European Commission, in collaboration with the European Partnership on Connected, Cooperative and Automated Mobility (CCAM) and FAME, is set to host EUCAD 2025, which will take place at the Joint Research Centre (JRC) in Ispra, Italy, from 13 to 15 May 2025.
The 5th European Conference on Connected and Automated Driving (EUCAD) brings together leading industry experts, researchers and policymakers to exchange insights, foster collaboration, and drive progress toward the deployment of smart, inclusive and sustainable mobility solutions. The conference features contributions from international speakers, offering global perspectives.
The Conference consists of thematic sessions to discuss specific R&I and implementation challenges, which feature interactive panel discussions, combined with active audience participation. An exhibition and demonstrations of CCAM initiatives and solutions are also accessible throughout the duration of the event.
AI4CCAM desktop demonstration will explore the idea of using artificial eyes for CAV-VRU communications. Through Virtual reality (VR) system, visitors become VRUs and interact with a CAV in virtual scenarios.
AI4CCAM, represented by Nina De Ona, BVA, will also be in the discussion panel “Human-centred CCAM: methods to assess and address user needs and meet societal goals & Workforce skills and short, mid and long term employment effects for the deployment of CCAM” on May 14th, focusing on “How Europeans perceive automated vehicles”, explaining the quantitative study carried out within the project.
For more information on EUCAD, click here
Within the activities of the WP3 of the AI4CCAM project, BVA Group released a White Paper with a preface by BSC.
The White Paper “AI in Mobility: From Confusion to Adoption” explores the challenges associated with the acceptance of connected and automated vehicles (CAVs), emphasizing the importance of transparency and user agency. It examines the evolution of automation across aviation, public transport, and the automotive industry, highlighting persistent obstacles to automated vehicle adoption.
The document warns against exaggerating capabilities (“autonowashing”) or downplaying risks, as both can mislead the public and hinder adoption. It underscores the need for clear, transparent communication to prevent misunderstandings and foster trust.
Additionally, the White Paper provides guidelines to improve public understanding, with a focus on regulation, user education, and the role of public authorities. Its objective is to cultivate collective intelligence around AI in mobility, ensuring that its benefits are fully realized while mitigating potential risks.
Enjoy the reading!
The AI4CCAM project proudly announces the launch of a video focusing on four demonstrations developed within the project that highlight key innovations in the use of artificial intelligence (AI) for safer, more ethical automated mobility.
After two years of collaborative research within AI4CCAM, these demos illustrate how cutting-edge technologies can improve simulation realism, predict pedestrian behavior, enhance Advanced Driver Assistance Systems (ADAS), and enable more intuitive communication between autonomous vehicles and people.
From integrating virtual reality into urban driving simulations to developing bio-mimetic feedback systems that mimic eye gaze to improve pedestrian safety, each demo contributes to the shared European goal of developing trustworthy AI for connected and automated mobility (CCAM).
“With these demos, we are contributing to the CCAM ecosystem by addressing a very specific issue related to trustworthy AI and automated driving,” says Arnaud Gotlieb, Project Coordinator of AI4CCAM. “We are now in a position to showcase the concrete results of our efforts, and I am very excited to see how these complementary solutions advance the ethical and technical frontiers of autonomous mobility.”
The four demos reflect the project’s multidisciplinary approach and commitment to open-source tools, scalable validation environments, and human-machine interaction research.
Building on this foundation, the demonstrated solutions represent tangible progress toward enhanced street safety in autonomous mobility, while reinforcing Vulnerable Road Users’ trust in human-machine interactions. Collectively, these advancements contribute to the development of smarter, safer, and more widely accepted automated transport solutions
The AI4CCAM project enters its final year and continues its work on the trustworthiness of AI in automated mobility. Stay tuned for the final results of the project soon!
Watch the demos and see the future of trustworthy AI in action here!
Are People Ready for Autonomous Vehicles? On 28 April, PAVE Europe is organising a virtual panel with SCOR and BVA Xsight, AI4CCAM partner, as we explore how AVs can be designed with people in mind.
Artificial Intelligence (AI) is rapidly transforming the capabilities of autonomous vehicles, enabling them to process vast amounts of data and execute complex driving tasks in real time. While the technology is accelerating, however, human readiness remains a challenge. Behavioural hesitation, ethical uncertainty, and limited public trust pose significant barriers to widespread adoption.
Guido Di Pasquale, PAVE Europe, will moderate a discussion with Caitlyn Parsons and Marc Eynaud on:
- How human behavior and biases shape trust in AVs
- The role of insurance in building confidence and increasing acceptance
- Real-world projects like AI4CCAM that are working toward advancing ethical, transparent AI, and more.
The 8th edition of the European Conference on the Results from Road Transport Research took place from 11th to 13th February 2025. More than 1000 participants joined the conference, on-site in Brussels and online to listen to the presentations from 90 projects in 23 sessions.
AI4CCAM was one of the speaker, involved in the CCAM enablers session. Loic Cantat, IRT SystemX, touched the project key points: a tooled methodology to generate simulations for VRU scenarios; a digital framework to integrate AI4CCAM tools and share with other CCAM initiative; scientific contribution to improve AI Models for better AV and ADAS; a Participatory Space and handbook to evaluate user acceptance.
All the presentations gave the final outcomes from some Horizon 2020 projects, providing a glimpse into a promising future for a more sustainable, integrated and digital road mobility. Furthermore, attendees were introduced to new results from many, running Horizon Europe funded projects.
In the RTR Conference Summary Report, the moderators of each session briefly introduce the key outcomes highlighted by each project’s representative and provide a summary of the discussions and conclusions from their session. If you want to deep dive into the session content, watch the recording of each session, which is easily accessible by clicking on the YouTube logo next to the session title.
On 8 April, BVA Xsight organised the webinar “How Europeans perceive automated vehicles“ to present the key findings of the quantitative research carried out in AI4CCAM, that are directly linked to European citizens’ perception and willingness to adopt automated vehicles.
Imagine renting an automated car for your weekend when suddenly the car stops at a crosswalk even if nobody is on sight. An incident report pops up on your dashboard : what would you like the report to tell you? And European citizens, what do they expect?
The webinar presented the groundbreaking findings from the AI4CCAM quantitative study spanning six European countries.
Did you miss the webinar! Replay it!
Atia Cortes, Barcelona Supercomputing Center, had the chance to present AI4CCAM and introduce the concepts of Trustworthy and Responsible Artificial Intelligence during the launch of the second edition of the International Summer School organized by ADIA Lab and DaSCI, Andalusian Institute in Artificial Intelligence.
The research done in AI4CCAM was showed, underlining the importance of explainable and responsible AI, focus of the Summer School this year.
This Summer School is part of the Strategic Project ‘Ethical, Responsible and General Purpose Artificial Intelligence for Cybersecurity’ IAFER-Cib (C074/23), as a result of the collaboration agreement signed between the National Institute of Cybersecurity (INCIBE) INCIBE – Instituto Nacional de Ciberseguridad and the Universidad de Granada. This initiative is carried out within the framework of the Recovery, Transformation and Resilience Plan funds, financed by the European Union (Next Generation).
Sandra Victor, Lirmm, was third in the regional thesis competition on her work in AI4CCAM!
‘MT180’ (my thesis in 180 seconds) is a national and international event where PhD students present their work in 180 seconds. My Thesis in 180 Seconds allows doctoral students to present their research topic, in French and in simple terms, to a diverse audience. Each student must give a clear, concise, yet convincing presentation on their research project in three minutes.
This competition is inspired by Three Minute Thesis ( 3MT® ), designed at the University of Queensland in Australia. The concept was taken up in 2012 in Quebec by the Association francophone pour le savoir ( Acfas ), which wanted to extend the project to all French-speaking countries.
