AI4CCAM will be attending the TRA – Transport Research Arena 2024, 15-18 April in Dublin, Ireland.
This event gathers individuals and organisations in the shared pursuit of knowledge and innovation in the field of transportation and mobility. TRA aims to foster an environment where ideas flourish, discussions thrive, and connections are forged, solutions emerge, and the seeds of future breakthroughs are planted. TRA2024 will provide a shared opportunity to push the boundaries of what we know and to chart new territories in transport research.
The vast array of presentations, workshops and discussions curated for this conference demonstrates the value and impact of the research being conducted globally. TRA will explore the full spectrum of issues that define the transport landscape across the road, rail, aviation, water and cross-logistics industries. The focus will be on: Safe and inclusive transport; Sustainable mobility of people and goods; Efficient and resilient systems; Collaborative digitalisation.
You can meet AI4CCAM at booth number 12, being part of the ALICE Innovation Village.
AI4CCAM will be also presenting the paper “Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations“, on Tuesday, Apr 16 (5:45 PM – 6:45 PM, Hall 6 – Clyde Room), with Nassim Belmecheri, Simula Research Laboratory.
Find out more on TRA and let’s meet there!
Within TRA, also EUCAD is taking place, you can meet AI4CCAM there too!
The Symposium is organised by the FAME initiative and supported by the European Commission Directorate General for Research & Innovation (RTD) as well as the CCAM Partnership. It is targeted at public and private stakeholders in road transport, interested in exchanging views on immediate next steps and future actions required for connected and automated mobility. Participants will also have the opportunity to learn more about European Research & Innovation activities on CCAM.
AI4CCAM recently celebrated its first year of activity!
A lot has happened between the Kick Off meeting in Oslo in January 2023, and today: General assemblies, scientific webinars, Ethical and Scientific Advisory Board meetings, participation in events, progresses and first results within the technical project activities, such as the Use Cases.
All this in 120 seconds!
Watch the video!
On 27 and 28 March, AI4CCAM took part in HyCHA’24 – Hybrid Artificial Intelligence Workshop: From knowledge and human integration to model explanation (Knowledge, Human and Machine Learning Hybridization), held in Gif-sur-Yvette (France), co-organised among others by SystemX, AI4CCAM partner.
AI4CCAM was represented by Arnaud Gotlieb, Simula, AI4CCAM coordinator who participated in the event with a poster.
Hybrid Artificial Intelligence (AI) broadly encompasses all approaches that combine several AI methods, whether symbolic or numerical, qualitative, semi-qualitative or quantitative. It is a field that is currently enjoying renewed interest, particularly because the hybridization is a way of addressing the respective weaknesses of different approaches and tackling certain current AI challenges such as trust and explainability.
In Automated Driving, scene understanding is a crucial issue. However, today’s explanations are based on quantitative analysis: Heatmaps, importance map, occlusion analysis, etc. But there is still no understanding of events chain and consequences. Given an action taken by an ego-car in a scene, the goal is to automatically explain the interactions between the actors that led to such action Decision Making Explanation Action.
AI4CCAM is based on Qualitative Reasoning.
Given a scene, we apply Qualitative Constraint Acquisition on each frame Then, we create the Qualitative eXplainable Graph (QXG) from sensor data.
Given a set of QXGs and actions (cruising, accelerating, etc.), we train one-class classifiers to give action-labels to each object relation chains. These action labels can be helpful to automatically document the driving scene.
Considering action-labels with relation chains, our method automatically proposes possible ego-car action explanations, by considering interactions between the car and each object.
User feedback on possible explanations allows us to strengthen the result and properly document automated driving scenes.
For further information on the event, click here
Check the project library for the Poster!
AI4CCAM will be joining the 8th edition of the AUTONOMY Mobility World Expo, held in Paris on 20 and 21 March.
The event is among the world’s largest annual gathering of international policymakers, institutions, NGOs, corporations, companies, and start-ups focused on sustainable urban mobility solutions welcoming 250+ exhibitors, 400+ speakers, and 7,000+ participants every year in March.
AUTONOMY MOBILITY WORLD EXPO (AMWE) combines exhibition stands with a Startup Village, 5 conference stages, test tracks, demos, B2B & B2G meetings, and also the Startup Challenge and Innovation Awards ceremonies.
AI4CCAM will be represented by Arnaud Gotlieb, Simula, the project coordinator, who will be joining the session on “Steering Tomorrow: The Roadmap to Autonomous Vehicle Integration in Cities”.
This session explores the transformative impact of Autonomous Vehicles (AVs) on urban mobility. We’ll discuss advancements in AV technology, regulatory challenges, and integration strategies. Experts will share insights on improving urban transportation efficiency, ensuring safety, and the benefits of AV deployment in city landscapes.
For further information on the event, click here
On 11 March, the AI4CCAM Ethical and Scientific Advisory Board (ESAB) held its second meeting, in Paris.
The ESAB is led by Prof. Jean-Gabriel Ganascia, Professor of Computer Science at Sorbonne University. The ESAB also involves Margriet Van Schijndel-de Nooij, Program director Responsible Mobility bij Technische Universiteit Eindhoven; and Jerome Perrin, Recherche scientifique et développement industriel dans les domaines énergie, environnement, mobilité – Associations caritatives – Ethique et Théologie.
The scope of the Advisory Board is to maintain an accurate body of knowledge on AI in CCAM operations, enabling the continuous consideration and analysis of ethical aspects and also facilitating interactions with relevant associations and policy-makers.
The meeting started with a presentation of the follow-up actions on the ESAB initial recommendations, then the main focus was on AI4CCAM methodology and its application to the three use cases of the project. A first presentation was given by Simula, the project coordinator, then followed by three more presentations by project members on the AI4CCAM methodology for Trustworthy AI in CCAM, Use Case Experimentation and Evaluation and AI ethical risks in CCAM.
The ESAB reported to be very satisfied with the project activities, including communication and dissemination towards the CCAM community. Before ending the meeting, the board also provided the coordination team with recommendation to connect with other relevant initiatives in the CCAM sphere.
AI4CCAM has a whole Work Package (WP4) dedicated to defining a validation process (including KPIs and methodological aspects from WP1 and WP3) that embraces the variety of CCAM Use Cases involving explainability and Trustworthy AI concepts.
Under this WP the AI4CCAM digital framework and AI models (from WP1 and WP2) will be evaluated in dedicated Use Cases representing simulated CCAM scenarios and collect all necessary evidence for validation. An impact assessment in line with the use case scenarios will be performed as well.
Three complementary use cases also covering user acceptance will be implemented:
- Human-vehicle AI-based interactions and ethical dilemmas
- Advanced AI models for CCAM situation awareness and VRUs behavior anticipation
- Car trajectory prediction.
This short video by Akkodis showcases a scenario where a VRU (bicyclist) is occluded by a larger vehicle (a bus) and the challenge is to identify and predict the risk involved to the VRU by the autonomous vehicle.
Co-organised by IRT SystemX, AI4CCAM partner, the Confiance.ai Day 2024 will be held on 7 March in Paris, acting as the meeting place for trusted AI. Several topics related to CCAM will be discussed, exchanging ideas and experiences with the French and international engineering and scientific communities involved in trusted AI:
- Trustworthiness as a pillar of AI adoption in industry
- Industrial AI toward 2030: trustworthiness beyond Confiance.ai
- Norms and standards: current status and future challenges
- The future challenges of trustworthy AI
- Hybrid AI, safety, cybersecurity, or ethics: spotlight on some of the upcoming challenges to address in developing trustworthy AI in industry.
Confiance.ai Day will be a new opportunity to meet AI4CCAM partners and find out more about the project!
For further information, click here
AI4CCAM has a whole Work Package (WP4) dedicated to defining a validation process (including KPIs and methodological aspects from WP1 and WP3) that embraces the variety of CCAM Use Cases involving explainability and Trustworthy AI concepts.
Under this WP the AI4CCAM digital framework and AI models (from WP1 and WP2) will be evaluated in dedicated Use Cases representing simulated CCAM scenarios and collect all necessary evidence for validation. An impact assessment in line with the use case scenarios will be performed as well.
Three complementary use cases also covering user acceptance will be implemented:
- Human-vehicle AI-based interactions and ethical dilemmas
- Advanced AI models for CCAM situation awareness and VRUs behavior anticipation
- Car trajectory prediction.
Skoda is elaborating its crosswalk scenario, which will be used to challenge and validate the Trustworthy AI.
AI4CCAM partners met on 25 January in Athens for the third General Assembly of the project, hosted by Inlecom.
A crowdy room to discuss project developments and upcoming achievements, especially considering that AI4CCAM is now one year old: the perfect moment for summing up progresses made so far.
The main focus of the meeting was on the three AI4CCAM Use Cases (UCs), discussing actions and on complementary of UCs, as well as common methodology, and user acceptance in UCs.
Of course, other relevant technical aspects of the project were discussed as well, such as
Ethical AI issues in autonomous driving, models and datasets, technical architecture. However, AI4CCAM is also looking into CCAM Partnership and internationalization activities that were discussed too, along with dissemination and communication activities.
