Cluster Lombardo della Mobilità (CLM) is a Technology Cluster in Lombardy Region that brings together 93 partners, among which businesses, universities and research centers , with a view to supporting R&I projects in the field of transport, mobility, and logistics. CLM is looking for a consortium where it could manage communication and dissemination activities and involve one or many of its partners in developing new technologies, know-how, and pilot activities.
AI for advanced and collective perception and decision making for CCAM applications (CCAM Partnership)
Programme: Horizon Europe Framework Programme (HORIZON)
Call: Safe, Resilient Transport and Smart Mobility services for passengers and goods (HORIZON-CL5-2024-D6-01)
Project results are expected to contribute to all of the following expected outcomes:
Approaches for resilient collective awareness, which can eventually be used in e.g. complex models of collective behaviour.
Advanced collective awareness, decision making and triggering of actions for CCAM applications, enabled by new concepts and tools built on advancements in Artificial Intelligence (AI), including Hybrid Intelligence (HI).
CCAM solutions evolving from reactive into predictive system state awareness (including driver state and road user diversity), decision making and actuation, enhancing road safety.
Understanding of AI-related ethical issues and user needs, together with capabilities, limitations and potential conflicts of AI based systems for CCAM, including a definition and a measure of human-like control.
Increased user acceptability and societal benefit of CCAM solutions, based on explainable, trustworthy and human-centric AI. Interactions with AI-based vehicles are understandable, human-like and reflect human psychological capabilities.
Today’s mobility landscape is rapidly changing, as is seen in the recent boom in the detection of advanced and/or complex urban scenarios that add new challenges to the development of CCAM technologies. These novel scenarios are especially emerging with the establishment of new urban traffic regimes and cultures, such as restricted zones, shared zones, and cycle-streets, which need to be taken into account when designing and developing CCAM solutions.
To integrate and tackle complex traffic scenarios, CCAM technologies will require highly advanced decision-making based on enhanced collective awareness – the stage beyond on-board perception, advancing on e.g. results from projects under CL5-2022-D6-01-05 – incorporating information from multiple sources and including interpretation for the aggregation of this information. Developing collective awareness should take into account the state of the vehicle, the driver and the road user environment. It can also involve the tracking of other road users' behaviour and generating predictions on a short horizon, which can be based on the input from advanced behavioural models, e.g. those developed within CL5-2022-D6-01-03 projects. The integration of these findings will lead to collective awareness for CCAM.
Please, visit the following page to get more information regarding this call: https://www.developmentaid.org/grants/view/1218428/ai-for-advanced-and-collective-perception-and-decision-making-for-ccam-applications-ccam-partnership