EC-funded and other CCAM projects, as well as players in the field, will have stands at an exhibition accessible throughout the event, to present their results and products.
Live and static vehicle demonstrations will also be visible throughout the event, co-located in the JRC Campus nearby the Conference Centre (where sessions and the exhibition will take place).
Find the details of Exhibitors and Demonstrators hereunder.
You may also visit EUCAD co-organisers FAME, European Commission and CCAM Partnership at the exhibition, and some static demonstrators will also have a related booth inside the Conference Centre.
Exhibitors
AI4CCAM desktop demonstration explores 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.
Videos of experiments on public roads by this research project of Politecnico di Milano MOST (National Center for Sustainable Mobility) aiming to revolutionize urban mobility through autonomous, shared vehicles.
Videos of experiments and other offline demonstrations of trustworthy AI modules and solutions for CCAM.
Videos of pilot results from this EU project dedicated to understanding, harmonizing, and evaluating Physical, Digital, and Communication infrastructure support solutions to prepare for large-scale deployment of CCAM solutions.
EU project showcasing explainable, trustworthy AI and personalized vehicle technologies for inclusive, safe, and user-centric automated mobility, featuring advanced monitoring, adaptive virtual assistant systems, and real-world use case demonstrations.
Videos and other offline demonstrations showcasing advanced safety systems for autonomous vehicles, emphasizing both active and passive measures in mixed traffic environments.
EU project developing a scalable probabilistic behavioural model that represents the full range of driver behaviours, integrating physical, cognitive, and emotional factors and contextual influences. This model will enable more human-like vehicle interactions, allowing CAVs to better understand other road users and anticipate unexpected risks.
This EU project will identify innovations and key innovators relating to CCAM deployment, and relevant to the employment, socio-economic and skills effects, and will provide solutions to ensure that the relevant skills are available and can be scaled up across the entire CCAM value chain.
Visitors will explore real-world use cases, learn about ongoing large-scale validations, and see how this EU project results can enhance efficiency, safety, and sustainability in multimodal transport systems through integrating advanced AI-driven decision-making, predictive analytics, and cooperative control strategies.
Simulation and real-world demonstrations of three use cases (Intersection Movement Assist & Misbehaviour Detection, Cooperative Adaptive Cruise Control, Slow-Moving Traffic Detection) showcasing a novel trust assessment framework addressing vulnerabilities in connected vehicles.
Presentation and videos showcasing deployment activities of this EU project, which aim to ensure interoperability of C-ITS services across Europe by providing harmonised C-ITS specifications and supporting a hybrid communication mix.
Presentation and video from this EU project developing new methodologies to foster the equitable implementation of CCAM services by incorporating cultural and geographical diversity into CCAM deployment planning.
Video showcasing this EU project methods and tools to support CCAM developers, transportation planners and policymakers to integrate social diversities in the design and implementation of shared autonomous mobility across all European landscapes.
Learn all about the latest advancements, use cases and live demonstrations of this EU project addressing a series of challenges where the normal operation of an automated vehicle is close to being disrupted, enabling it to navigate unpredictable scenarios.
Presentation of this EU project methods and tools, based on the principles of safe systems design in a federated Digital Twin environment, leveraging advanced sensing, ML, hybrid AI and simulation to increase adaptability and sustainability of ODDs to complex and dynamically changing road contexts and allow for improved management of CCAM-enabled PDI.
Presentation and videos showcasing this EU project methodology to establish a credible and realistic human road safety baseline for virtual assessment of CCAM systems, ultimately paving the way for an AV driving license.
Presentation of this EU project focusing on advancing digital technologies and navigation services to improve existing ODDs.
Presentation of this EU project recent achievements and evaluation results; discussion of developments, trends and most challenging enablers for CCAM services, e.g. Digital Twin, Simulation and Artificial Intelligence approaches (Machine Learning and Deep reinforcement Learning).
Presentation and videos of infrastructure-based vehicle automatisation for the urban environment, with the help of a complete sensory coverage of the route via road capturing units.
Videos of this EU project accelerating the transition to climate-neutral mobility in European cities by integrating innovative mobility solutions for both people and freight to reduce emissions and enhance urban transport.
Videos of this EU project accelerating the transition to climate-neutral mobility in European cities by integrating innovative mobility solutions for both people and freight to reduce emissions and enhance urban transport.
Video showcasing demonstration activities of highly automated freight vehicles on the logistics corridor Netherlands-Norway.
Presentation and videos of MOIA services for cleaner, safer, and more connected urban mobility such as Autonomous Ridepooling.
Discover how this EU project Impact Assessment Modelling Tool (IAMT) helps decision-makers understand and quantify the long-term effects of CCAM interventions. By simulating the complex interactions between mobility, environment, economy, equity, and more, IAMT supports smarter planning and sustainable integration of CCAM solutions.
Presentation and video of this EU project developing technologies to assess passenger needs in real time and adapt conditions to improve experience, inclusiveness, and trust in CCAM-based public transport solutions.
Video presentation of Verne’s new urban autonomous mobility ecosystem, consisting of an autonomous electric vehicle, specialized infrastructure, and a mobility service platform. Visitors can learn more about the design prototype/show car, the user app and ecosystem.
Presentation of this EU project objectives, architecture, and videos of the demonstrations in Italy, Germany, and Spain. Visitors can learn about the project multi-connectivity approach and benefits of its Trust Platform Module, showcased on the project static demonstration booth on JRC Conference Centre’s 1st floor.
This EU project is developing innovative strategies for re/upskilling professionals from the mobility sector, to address the impacts of automation and support a just transition for the transport workforce.
Video demonstrations of this EU project-developed perception and decision-making systems for enhanced performance of connected and automated vehicles under different traffic scenarios and weather conditions.
Videos of real world scenarios and demonstrations of this EU project key results and tools for enhanced situational awareness, resilience of the CCAM ecosystem, and trust data sharing.
Presentation of this EU project strategies, methods, tools and guidance to engage all stakeholders involved in public and shared transport using CCAM, to facilitate the shift toward innovative, smart mobility concepts in an inclusive and equitable way.
Live demonstration of the Safety Assurance Framework developed by this EU project for CCAM system validation and certification.
Live demonstration of the Scenario Dataspace & Marketplace developed by this EU project for CCAM system validation and certification.
Videos of LaaS solution and L4-Driving in demonstration sites showcasing the developments and learnings from this EU large-scale deployment project for on-demand, passenger-oriented Automated Vehicle public transportation service.
Demonstrators
| Demonstrator | Organiser | Type |
| C-ITS Automated Driving Remote Management Interaction with logistic systems | MODI | Static |
| Vehicle, infrastructure, and AI cooperation for improved safety and traffic flow. Real-world applications of developed solutions in public transportation, personal vehicles, industrial scenarios, in a mock-up of an autonomous vehicle cabin. Live data visualizations of visitors’ interactions illustrating how the system creates a comprehensive understanding of surroundings and passenger state | AutoTRUST | Static |
| Multi-connectivity for CCAM data transmission | PODIUM | Static |
| Use cases Trusted Cooperative Perception for Intersection Manoeuvre Assistance and Risk Management in a Highway Tunnel synchronized visualization through video material, vehicle HMI and VRU device outputs | PODIUM | Static |
| Advancements in road and motorway object detection during automated driving | Hi-Drive | Static |
| Automated Driving use case in urban scenarios with transitions between AD mode and tele-assisted mode | Hi-Drive | Dynamic |
| Automated shuttle showcasing in-vehicle services, such as detecting vandalism or fighting in a vehicle | ULTIMO | Dynamic |
| Automated shuttle showcasing in-vehicle services and some additional V2X services such as traffic light detection | ULTIMO | Dynamic |
| Next-Gen, AI-Driven, Radar-only perception (static/dynamic objects detection) | EVENTS | Dynamic |
| Real-time camera-based drivable road / lane update with roadwork presence | EVENTS | Dynamic |
| Managed Automated Driving (MAD) concept showcased through Collective Perception between static roadside sensors and vehicles, roadside infrastructure controlled vehicles (and optionally remote operation) | MAD Urban | Dynamic |
| U-Shift automated drive unit for flexible passenger or cargo capsules transport | MAD Urban | Dynamic |
| Visualization of infrastructure live view and remote operation workbench | MAD Urban | Static |
| Real-time anonymization solution using GenAI | AIthena | Static |
| Real-time Occupant Monitoring Systems | AWARE2ALL | Static |
| Discover the vehicle’s features and gain insights into the project encompassing the research, development, and manufacturing of fully autonomous electric vehicles, as well as the establishment of supporting infrastructure and a software platform | Project 3 Mobility (P3M) | Static |
| Explore the vehicle’s functionalities aimed at testing and validating autonomous driving technology on public roads, that is reliable and capable of operating in real and complex situations in urban settings | AIDA | Static |
| Showcasing automated driving performances of End-to-End AI system | WAYVE | Dynamic |