The work performed in the ITEAM network ranges among applicative research in the fields of vehicle dynamics control, advanced driver assistance systems (ADAS), autonomous driving (AD) and human machine interface (HMI) and can be summarised as follows:
(i) Methodologies for designing automotive active chassis systems, which control functions are optimised by the criteria of driving safety, energy efficiency, driving comfort, and overall vehicle dynamics;
(ii) Holistic approach dedicated to the application of computational intelligence methods (e.g. machine learning, fuzzy logical, artificial neuronal networks, etc.) to the on-board MAGV controllers with particular focus on advanced driver assistance systems (ADAS) and automated driving functions;
(iii) Real-time versions of the vehicle dynamics models for the implementation in on-board MAGV controllers;
(iv) Integrated models reflection the interaction of the MAGVs with driving environment and various road users;
(v) Co-simulation techniques required for real-time cooperation of the models created in different software tools; these techniques were developed in ITEAM for both pure software-in-the-loop and complex hardware-in-the-loop tests;
(vi) Upgraded vehicle demonstrators, i.e. an electric vehicle with individual electric motors, small fleet of automated vehicles, a sport utility vehicle with integrated vehicle dynamics control functionality;
(vii) Several driving simulators, including variants with moving hexapod-based vehicle platforms;
(viii) Hardware-in-the-loop test rigs and component test setups, in particular, for steering system, wheel slip control, suspension elements, on-board controllers, power electronics.
