36th IEEE INTELLIGENT VEHICLES SYMPOSIUM will be held June 22-25, Cluj-Napoca, Romania, featuring Plenary Talks, Technical Sessions, Poster Sessions, Tutorials, Workshops, Exhibitions, and Industrial Demonstrations and Challenges.
AI4CCAM is the sponsor and one of the organizers of the Workshop “Advancing Automated Driving in Highly Interactive Scenarios through Behavior Prediction, Trustworthy AI, and Remote Operations” on 22 June.
Automated driving is being developed and deployed in complex road traffic environments with dense interactions. Ensuring safe and comfortable operation requires adaptable solutions — from reliance solely on onboard sensors and computing to integration with intelligent infrastructure, connectivity, and remote operation. As vehicles become increasingly intelligent, maintaining their efficiency and safety throughout their operational lifetime is essential for preventing accidents and fostering public trust.
This workshop explores three critical topics:
- Multi-road user interactions and behavior prediction/planning
- AI trustworthiness and CCAM user perception
- Remote operation of intelligent connected and automated vehicles
This full-day workshop (8.30 am to 18.15 pm) includes three sessions focused on these topics, complemented by two interactive poster sessions. Each session will open with a keynote speaker, followed by workshop paper presentations. The workshop then concludes with a round table discussion featuring experts from diverse backgrounds, ensuring comprehensive coverage of all main topics.
Firstly, technological and human factor challenges on remote operation covering three aspects—monitoring, assistance, and driving—will be discussed.
Then the discussion will be focused on aligning AI-based systems’ trustworthiness across technical, ethical, and social dimensions. It will explore how to develop CCAM systems that are not only technically robust and reliable but also perceived as trustworthy by users. This includes addressing challenges in human-machine interaction, transparency, and ethical considerations.
The last session presents work examining the balance between safety and efficient behavior in automated vehicles, discussing approaches to predict and plan comfortable trajectories that meet human expectations while maintaining safety. The workshop will focus on multi-modal approaches and their evaluation, considering the diversity of valid solutions of a traffic situation and facing unknown intentions of others.
By combining these topics, the workshop provides a comprehensive view of automated driving challenges, emphasising the crucial roles of remote operation supported by humans, and AI in developing trustworthy, efficient, and safe automated mobility solutions.
AI4CCAM will especially be represented in Session 2 on “Aspects of trustworthy AI for CCAM” and Session 3 on “Multi-stakeholder road interactions“.
AI4CCAM is reaching its end and a final event is planned on 17 and 18 November, in Brussels, Belgium.
Through collaborative research, AI4CCAM contributed to the CCAM ecosystem by addressing a very specific issue related to trustworthy AI and automated driving.
The event in Brussels will be the right place to be to discover the demonstrations developed within the project that highlight key innovations in the use of artificial intelligence (AI) for safer, more ethical automated mobility, and also reflecting the project’s multidisciplinary approach and commitment to open-source tools, scalable validation environments, and human-machine interaction research.
Stay tuned, more information will follow soon!
On 28 May, the ULTIMO project is organising the 5th edition of its webinars series.
Entitled “Advancing Safety in Automated Mobility”, the webinar (14.00 to 15.30 CET) aims at delving into the latest advancements and challenges in ensuring the safety of automated vehicles, and AI4CCAM will be represented by the project coordinator, Arnaud Gotlieb, Simula Research, discussing “Improving safety with trustworthy Artificial intelligence for CCAM“.
Along with AI4CCAM, leading experts from around the globe will delve into the latest advancements and challenges in ensuring the safety of automated vehicles. A range of critical topics will be covered, including:
- Perception Systems for Vulnerable Road Users (VRUs): Exploring how advanced perception systems detect VRUs’ attention, intention, and mobility aids, and their integration with external Human-Machine Interface (HMI) systems for effective communication.
- Vehicle-to-Everything (V2X) Communication: Discussing the role of V2X technologies in enhancing road safety through real-time data sharing between vehicles and infrastructure.
- Safety of the Intended Functionality (SOTIF): Evaluating the safety of automated driving systems and leveraging naturalistic driving data for comprehensive safety assessments.
- Regulatory and Policy Frameworks: Reviewing international standards for automated and connected vehicles and the importance of collaboration between industry, academia, and policymakers.
- Artificial Intelligence in Automated Driving: Highlighting the role of AI in enhancing vehicle perception and decision-making, and the use of machine learning techniques to improve ADS functionality.
Moderated by Jorge Pinazo Donoso (Automotive Technical Innovation & Development Manager, Capgemini), the webinar will provide a comprehensive overview of the current state and future prospects of automated mobility safety.
ADAS & Autonomous Vehicle Technology Expo and Conference returns to Stuttgart, Germany, Europe’s most influential hub for automotive innovation, research and development on May 20, 21 & 22, 2025, and AI4CCAM will be there!
Exhibitors will showcase the latest technologies to enable and accelerate end-to-end autonomous and ADAS applications, including testing tools, simulation, software, sensing and AI.
You can also benefit by networking with international delegates and speakers from the adjoining Automotive Testing Expo Europe.
Elem Güzel, Virtual Vehicle Research, on 22 May (13.10-13.35 – Room A W2/3) will be holding a speech on “Integrating VR and CARLA for realistic vulnerable road user simulations“:
Driving simulators often struggle to accurately simulate vulnerable road users (VRUs) in safety-critical scenarios. We present a framework integrating immersive virtual reality and human motion capture with the CARLA driving simulator. This setup allows simulations where real human agents act as VRUs interacting with an AI-equipped ego car featuring advanced ADAS functions. It enables testing and validation of new ADAS features with real pedestrian behaviors, providing valuable data on VRU reactions in dynamic traffic environments. This approach enhances the realism of VRU simulations and supports the development and evaluation of safer, more effective ADAS technologies for real-world applications. The speech will be sharing with participants:
- An overview of SOTA driving simulators and their limitations, covering the behavior of vulnerable road users in dynamic traffic environments
- The capabilities of the framework that integrates the CARLA simulator with the VR Meta Quest Pro headset, involving real human agents as pedestrians
- The application domains and the use cases of the proposed VR+CARLA simulation framework.
For more information on the event, click here
AI4CCAM, together with the EU Road Safety Cluster projects will be organising a Special Interest Session at the 16° ITS European Congress 2025, taking place from 19 to 21 May 2025 in Seville, Spain.
The ITS Congresses bridge the worlds of mobility, technology, and innovation, gathering experts, policymakers, and stakeholders from industry and academia to advance the intelligent transport systems (ITS) field. Recognising that mobility challenges transcend borders, these Congresses address not only local and national concerns but also global ones, fostering a worldwide dialogue on smart mobility solutions.
The session SIS 58: Road Safety Innovation through Advanced Technologies for Resilient Mobility:
📅 When: Wednesday, 21 May 2025
🕥 Time: 10:30–11:30
📍 Where: Fibes – Conference and Exhibition Centre, Seville (Room Madrid D)
This interactive session will explore how Artificial Intelligence (AI), simulation environments, and predictive analytics can enhance road safety for all road users, particularly pedestrians, cyclists, and individuals with reduced mobility.
Participants will engage with key innovations from each project from the Cluster:
- Trustworthy AI models for predicting vulnerable road user (VRU) behaviour and ethical autonomous vehicles (AVs) interactions.
- Resilient systems for Connected and Automated Vehicles (CAVs) perception and decision-making in complex and adverse conditions.
- An evidence-based framework for predictive road safety assessment in urban planning.
- A data-driven road safety intelligence platform for VRUs and micro-mobility in urban environments.
- The session will culminate in a panel discussion, where speakers will tackle questions on achieving EU’s Vision Zero for close-to-zero fatalities by 2050 and the future of resilient mobility.
AI4CCAM will be represented by our partner Karla Quintero, from IRT-SystemX.
We are looking forward to seeing you in our session!
For more information about the Congress visit: https://itseuropeancongress.com/
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.
While, represented by Atia Cortes, BSC, AI4CCAM will be involved in the panel “Advancing CCAM’s cybersecurity assessment: Overcoming current challenges and shaping future solutions”, exploring a comprehensive stack of cybersecurity solutions involving sensor fusion and distributed intelligence; trust based frameworks; and the Threat Analysis and Risk Assessment (TARA), as mandated by UNECE Regulation No. 155 and the ISO/SAE 21434.
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!
