DESERVE Platform : HMI Needs Analysis and Specifications for Safe and Efficient Drive


In order to enhance ADAS market penetration, users and suppliers acceptance, reduce costs and broaden the scope and effectiveness of ADAS in the medium and long term, there is a need of managing the level of complexity of the different ADAS functions in an integrated way, allowing them to co-exist and co-operate. Nonetheless the integration of ADAS functions poses several challenges, bearing significant implications e.g. in terms of drivers safety: each individual function should be designed, integrated and deeply validated against user needs and high level objectives before its acceptance as a standard product. Consolidated methodologies (such as the V-model) exist to guide the development process and the validation of new safety systems). And yet, in order to address the above mentioned challenges, there is a need to step beyond the traditional V-Model-based system engineering for ADAS functions integration. An innovative design and development validation environment has to be established where new components can be embedded and functions can be developed and tested.

Therefore the overall objective of the DESERVE project will be to build an innovative platform for compositional development of ADAS systems contributing to safe and highly efficient driving and designed to be economically viable in the low volume vehicle market, going beyond traditional design-development-validation patterns. The DESERVE project will therefore provide a low cost, highly reliable, standardised tool platform, that can seamlessly integrate different functions, sensors, actuators and HMI to enable the development of a new generation of ADAS applications. In particular, advancements compared to the state of the art are foreseen in relation to the sensor fusion modules, the HMI systems and for the adopted vehicle and driver models. Figure 2 compares the traditional approach with the DESERVE approach, highlighting the advancements of DESERVE platform compared to state of the art.

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