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Enhanced ADAS: Improving drivers’ experience, acceptance and trust in assistance systems

Reference number
Coordinator RISE Research Institutes of Sweden AB - RISE Mobility & Systems
Funding from Vinnova SEK 4 344 000
Project duration October 2020 - December 2022
Status Completed
Venture Traffic safety and automated vehicles -FFI
Call Road safety and automated vehicles - FFI - June 2020
End-of-project report 2020-02950sv.pdf(pdf, 1286 kB) (In Swedish)

Important results from the project

** Denna text är maskinöversatt ** The project aimed to improve driver experience, acceptance and trust in ADAS by integrating sensor information, real-time information in ADAS, map data, and vehicle behavior which was then coordinated and presented to the driver through a proprietary HMI. The project has demonstrated and tested two larger prototype versions of a dynamic ADAS with actual users. The tests have taken place partly in real traffic on public roads, but also on the AstaZero test track.

Expected long term effects

** Denna text är maskinöversatt ** The project has increased knowledge in the area and led to advanced technical follow-up projects where the scope has broadened to also include the cabin in the driver monitoring. The project has been discussed in a standardization contexts, but the results have not yet led to any concrete changes in regulations. The final prototype in the project has been demonstrated and shown to work well. It shows that the approach of integrating different sources into a coherent system works successfully.

Approach and implementation

** Denna text är maskinöversatt ** The project had a test-driven approach where functionality and design development has taken place in close dialogue. The iterative development work had a user-centered focus and rendered two larger advanced prototypes which integrated new ADAS functionality, map data, and sensor data together with a user interface. These have then been tested and evaluated in real traffic and on a test track. The prototypes have been evaluated based on, for example, workload, trust, and acceptance. The approach also verified the technology and its functionality.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 7 February 2023

Reference number 2020-02950