I2Connect focuses on developing next generation of Advanced Driver Assistance Systems (ADAS) for trucks. The emphasis will be on developing algorithms for fusion and situation assessment and prediction based on Evidence Theory, as well as adaptive human-machine interfaces (HMI).

To achieve this, data are combined from external sources via a cloud platform and internal sources such as driver monitoring. The goal is to evaluate these new ADAS in terms of safety, efficiency, and user experience.

Two proof-of-concept prototypes will be developed for next-generation ADAS for trucks, one addressing intersection crashes with cyclists and one addressing overtaking crashes with passenger cars. These systems will include new data sources as well as fusion methods and situational assessment techniques.

Together with innovative HMI solutions, this is expected to increase the acceptance of ADAS among drivers and result in increased use throughout the journey. The project will meet the needed demands of personal driver assistance and HMI-functionality. ADAS will then have greater acceptance by drivers (and from an gender perspective) i relation to information and safety interactions. The results are disseminated via articles and an external reference group.

The project is divided into 4 work packages:

WP1 focuses on refining the two use cases.

WP2 will develop a research platform incl. the cloud platform and analytics for data exchange between vehicle and infrastructure, data fusion and situation assessment algorithms utilizing Evidence Theory and adaptable HMI.

WP3 will integarte these systems into truck demonstrators that will be evaluated in WP4 with truck drivers.