BERTHA project

Funded by the European Union with €7.9 million under the Horizon Europe programme, the BERTHA project aims to develop a scalable and probabilistic Driver Behavioural Model (DBM) mostly based on the Bayesian Belief Network. The DBM will be implemented on an open-source, HUB (repository) to validate the technological and practical feasibility of the solution with the industry and become a unique approach for the model's worldwide scalability. The resulting DBM will be translated into a simulating platform, CARLA, using diverse demos which allow the building of new driving models in the platform. BERTHA will also include a methodology which, due to the HUB, will share the model with the scientific community to ease its growth. The project includes a set of interrelated demonstrators to show this DBM approach as a reference to design human-like, easily predictable and acceptable behaviour of automated driving functions in mixed traffic scenarios. The BERTHA consortium is formed by 14 partners from 6 different countries, coordinated by Instituto de Biomecánica de Valencia (IBV) (ES). The other partners are Institut Vedecom (FR), Université Gustave Eiffel (FR), German Research Center for Artificial Intelligence (DE), Computer Vision Center (ES), Altran Deutschland (DE), Continental Engineering Services (FR), CIDAUT Foundation (ES), Austrian Institute of Technology (AT), Universitat de València (ES), Europcar International (FR), FI Group (PT), and Smart Eye (SEYE). ________________________ Funded by the European Union. 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.