Artificial Intelligence (AI) is considered as one of the key enabling technologies for connected and automated vehicles (CAVs). Considering AI’s capabilities, limitations and potential risks, the AI4CCAM project will develop an open environment for integrating trustworthy-by-design AI models of vulnerable road user behaviour anticipation in urban traffic conditions, and accounting for improved road safety and user acceptance.
Leveraging the Ethic Guidelines for Trustworthy AI – a document created by the European Commission’s High-Level Expert Group on Artificial Intelligence – AI4CCAM will support AI-based scenarios management for the development of pedestrian and cyclist behaviour anticipation models. The AI4CCAM open environment will include an interoperable digital framework for managing and generating AI-based urban-traffic scenarios in which AI models can be tested and an online participatory space to foster acceptance of AI in automated driving, determine AI risks, and identify biases in datasets and cyber-threats. Simulation scenarios of road users interacting with automated vehicles will be developed and evaluated in three use cases covering the whole sense-plan-act paradigm and user acceptance.
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AI4CCAM is funded by the European Union under grant agreement number 101076911. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for them. |