Abstract
With the fast-ongoing evolution towards C.A.R.E. vehicles (Connected, Automated, Ride-Sharing, Electrified) interior arrangements are deeply transformed. Both seats and surfaces as part of the interior are becoming populated with actuators and sensors in order to make them truly adaptive and predictive to the various situations encountered while driving. This evolution leads to the perception of the full interior as an extensive “Human Machine Interaction (HMI)” system providing customized comfort, safety, smart and enjoyable life-on-board in all situations. The main benefit for the car users is utilizing the driving time for productive activities in continuity with their occupations outside of the car. This paper explains the end-to-end architecture (“Cockpit Intelligence Platform”—CIP) views of Faurecia for such holistic interior HMI solutions. Faurecia is a worldwide leader in car interiors which has created an extensive partnership network in the last years in order to meet these new challenges. Faurecia demonstrated its concrete solutions and innovations through prototypes and demonstrators at the Frankfurt Motor Show 2017, Las Vegas CES 2018 and recently at the Paris Motor Show, where the company attracted a considerable attention from the automotive community.
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I would like to express my gratitude to Robin Denis, Product Marketing and Benchmarking Manager, and Melania van Laack, Digital Marketing Engineer, for their helpful suggestions and advice that contributed to this paper.
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Fonsalas, F. (2019). Holistic HMI Architecture for Adaptive and Predictive Car Interiors. In: Langheim, J. (eds) Electronic Components and Systems for Automotive Applications . Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-030-14156-1_18
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DOI: https://doi.org/10.1007/978-3-030-14156-1_18
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Publisher Name: Springer, Cham
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