The next CCAM Partnership Multi-cluster meeting is scheduled on 10 October 2024, in Brussels, and AI4CCAM, represented by the Arnaud Gotlieb, Simula Research Laboratory, the project coordinator, will be among the speakers fo the day.
The meeting will focus on the preparation of the future Work Programme 2026-27, especially the large-scale demonstration calls for projects.
AI4CCAM will be especially involved in the Breakout session on “What projects’ results can be integrated into large-scale demonstrations? What research needs can be postponed till the next Framework Programme?”, including CCAM Cluster 5 Group on Key Enabling Technologies, eager to learn more about the outcomes and results of the project, and understand how these could potentially be exploited within the future CCAM Large-scale demonstration projects.
On 25 and 26 September, AI4CCAM participated in the GSVF 2024 – Virtualization of Software-Defined Vehicles event, in Graz, Austria, organised by Virtual Vehicle, one of the project partners.
The vehicle records its surroundings with sensors and thermal imaging, “learns” to adapt its driving functions to this environment, uses intelligent navigation, and communicates with other AI-Defined Vehicles and intelligent infrastructure. What sounds futuristic is already a reality. AI algorithms enable real-time vehicle diagnostics and environmental perception. Essential to this is so-called Edge Computing – data processing within the vehicle itself. Because only in this way can cars react in real-time and much faster than a human ever could. Making vehicles smarter, safer, and more user-friendly is a core task at the Virtual Vehicle and was also a focus during their annual specialist conference, GSVF.
AI4CCAM was represented not only by Virtual Vehicle but also by a further project partner, CNRS, and presented both the work on the integration of virtual reality and CARLA, an open-source autonomous driving simulator used in AI4CCAM to create scenarios and attempt experiences.
This was a collaborative demonstration, that also served as an experiment, developed by the two teams together. Participants, after providing an informed consent, were presented with scenarios in virtual reality where they encountered various vehicles, in different whether and lighting conditions, and were required to judge when they would cross the road. The data collected in the demonstration/experiment will be used by CNRS to develop their behavioral model of pedestrian road-crossing behavior in the project.
AI4CCAM will take part in the event “Rethinking modal integration between Public Transport and shared, connected and autonomous mobility”, organised within the European project EMBRACER, in Vilnius, Lithuania, on 9 and 10 October.
EMBRACER is a region-driven project, funded within the Interreg Europe Program, where seven underserved regions have committed to integrate public transport with informal modes (cycling, ride-hailing, car/bike/scooter sharing, on-demand transport, autonomous shuttles) to enhance the interconnection with urban areas and achieve seamless intelligent climate-resilient regional and local intermodal mobility.
TTS Italia will be presenting the Use Case 3 of the AI4CCAM project, which explores user acceptance of automated vehicles equipped with Vulnerable Road User (VRU) prediction capabilities.
The Use Case aims to assess how VRUs interact with connected and automated vehicles (CAVs) before and after engaging in various traffic scenarios, such as T-junctions, crossroads, and roundabouts, within a VR environment. By measuring physiological indicators like GSR (Galvanic Skin Response) and EMG (Electromyography), AI4CCAM can evaluate changes in user acceptance, helping to enhance future interactions between CAVs and vulnerable road users.
Represented by Arnaud Gotlieb, Simula, project coordinator, AI4CCAM took part in MET’24 (Proceedings of the 9th ACM International Workshop on Metamorphic Testing), within the ISSTA/ECOOP event, held in Vienna, Austria, 16-20 September.
Simula had a double role, giving an invited Keynote speech on “AI-driven Metamorphic Testing for Autonomous Systems”; and also presenting the paper entitled “Evaluating Human Trajectory Prediction with Metamorphic Testing”.
The test oracle problem is one of the most fundamental and challenging problems in software testing and more broadly, software engineering. A growing body of research has examined the concept and approach of Metamorphic Testing (MT) and has justified that MT can effectively alleviate the oracle problem and detect real-life bugs in various application domains. Compared with most other testing methods where the correctness of each individual test output is checked, MT has a different perspective on testing: it focuses on the relationships among the inputs and outputs of multiple executions of the software under test.
MET: The International Workshop on Metamorphic Testing brought together researchers and practitioners in academia and industry to discuss research results, experiences, and insights into MT. The ultimate goal of MET is to provide a platform for the discussion of novel ideas, new perspectives, new applications, and the state of research, related to or inspired by MT.
Go to our Library and download the Keynote Speech and the paper!
“Mobility driven by ITS” is the motto of the 30° ITS World Congress, taking place in Dubai, 16-20 September 2024.
TTS Italia, one of the AI4CCAM partners, will be at stand H7-E16-B: go and visit for an Italian coffee while reading an AI4CCAM leaflet, exploring more about Artificial Intelligence applied to autonomous vehicles.
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.
Organised by ERTICO every two years in Europe, and every third year in the EMEA region for the ITS World Congress, these events lead the charge in global ITS collaboration and innovation.
With up to 20,000 attendees, 170 sessions, 650 international speakers, and over 300 exhibitors, the event includes plenary sessions, technical sessions, exhibitions, and demonstrations. Join us to explore sustainable mobility, innovative technologies, and Dubai’s commitment to smart city initiatives.
In one month, AI4CCAM will be attending the GSVF 2024 – Virtualization of Software-Defined Vehicles event, to ne held on 26 September in Graz-Austria.
The event is organised by Virtual Vehicle, one of the project partners.
Technological developments are rapidly raising the bar for vehicle requirements. Cars are expected to detect pedestrians in real-time, drive and park autonomously, be carbon-neutral, and protect their occupants like never before. To meet these expectations, key technologies such as Artificial Intelligence, advanced sensors, 5G connectivity, and powerful data centers are being deployed. The result is Software-Defined Vehicles (SDVs) – cars that leverage software to meet these demanding requirements.
The vehicle records its surroundings with sensors and thermal imaging, “learns” to adapt its driving functions to this environment, uses intelligent navigation, and communicates with other AI-Defined Vehicles and intelligent infrastructure. What sounds futuristic is already a reality. AI algorithms enable real-time vehicle diagnostics and environmental perception. Essential to this is so-called Edge Computing – data processing within the vehicle itself. Because only in this way can cars react in real-time and much faster than a human ever could. Making vehicles smarter, safer, and more user-friendly is a core task at the Virtual Vehicle and is also a topic at their annual specialist conference, GSVF.
AI4CCAM will be waiting for you at its stand for presenting the project and running a demo.
For more information on the event, click here
Among the several public deliverables recently released by AI4CCAM, D4.1 “AI4CCAM Validation Handbook” is included too.
AI4CCAM includes three use cases (UC):
- UC1: Validating AI-enhanced ADAS
- UC2: Enhancing VRU trajectory
- UC3: Validating User Acceptance of CAVs
The objective of this document is to define how AI4CCAM is going to validate these three use cases. To do so, AI4CCAM starts from the digital framework (developed in WP1) and the trustworthy framework (developed in WP3) and concretize these general guidelines into specific evaluations.
This handbook is precisely an attempt at translating ethical requirements all the way down to
algorithms. And the reason it is needed is to try to mitigate the potential negative impacts of the exponential AI advancement.
Visit our Library and download the document!
Among the several public deliverables recently released by AI4CCAM, “AI4CCAM Trustworthy AI Documentation Framework – Initial Version” is included too.
The document provides a documentation framework of how to address trust and adoption when it
comes to AI (Artificial Intelligence) in the scope of Connected, Cooperative and Automated Mobility
(CCAM). More specifically, guidelines are provided addressing the following topics as they relate to
trustworthy AI in the scope of the CCAM ecosystem:
– fairness & diversity,
– transparency-led user agency, communication, and acceptance
– governance techniques for accountability in AI-based CCAM operations with ethical dilemma
identification.
To address the challenges involved by the implementation of AI in a CCAM environment, the
guidelines suggest several steps to be taken and points to take under consideration, including one
central action that is overarching as a common thread across topics, which is the inclusion of citizens
in the discussions and debates revolving around AI in CCAM.
To improve the implementation of responsible practices, a common ground must be found in terms of
the definitions of responsibility, but also of fairness, diversity, user-agency, transparency and
accountability. To achieve this goal, AI4CCAM proposes to use the Joint Research Center, Confiance AI, and Connected Automated Driving glossary documentation as a base, not only for this specific document, but for the overall AI4CCAM project and to take into consideration the AI Act that was adopted on May 21st, 2024 (European Parliament, 2024).
To feed the guidelines and techniques outlined in this document, desk research was conducted on
ethics implications when it comes to AI in the mobility space, reflecting the ethical principles
highlighted by the High-Level Expert Group on AI, as well as on trends on CAV adoption worldwide.
Following this desk research, an iteration workshop was organised among all AI4CCAM consortium
members, ahead of a second public stakeholder forum held in Karlsruhe during the 2024 IT-Trans fair.
Finally qualitative face-to-face research was conducted among car drivers in Paris, Berlin, and Warsaw,
to explore levers and barriers to CAV adoption.
Visit our Library and download the document!
AI4CCAM has recently released several public deliverables related to project activities, progresses and results. Among these, the “Participatory AI4CCAM Space – Initial version”.
One of the goals of AI4CCAM (specifically under Work Package 3) is to create a space for cooperative learning, reflection and discussion using participatory methods that involve CCAM stakeholders and end-users. To achieve this, an online participatory space to create a community of CCAM stakeholders was created.
The purpose is to raise awareness and literacy on the ethical, legal, social, economic and cultural implications of using AI for CCAM and to collect feedback from the community regarding a set of topics of interest identified in the project.
The space is an open-source web-based platform, its the design and definition of its contents are strongly related to the research carried out by the projects partners and external CCAM stakeholders in different events.
