Design of a data-driven communication framework as personalized support for users of ADAS
Paper i proceeding, 2020

Recently the automotive industry has made a huge leap forward in Automated Driver Assistance Systems (ADAS) development, increasing the level of driving processes automation. However, ADAS design does not imply any individual support to the driver; this results in a poor understanding of how the ADAS works and its limitations. This type of driver uncertainty regarding ADAS performance can erode the user's trust in the system and result in decreasing situations when the system is in use. This paper presents the design of a data-driven communication framework that can utilize historical and real-time vehicle data to support ADAS users. The data-driven communication framework aims to illustrate the ADAS capabilities and limitations and suggests effective use of the system in real-time driving situations. This type of assistance can improve a driver's understanding of ADAS functionality and encourage its usage.

automated services

event recognition

driving context

naturalistic driving data


Julia Orlovska

Chalmers, Industri- och materialvetenskap, Produktutveckling

Casper Wickman

Volvo Cars

Chalmers, Industri- och materialvetenskap, Produktutveckling

Rikard Söderberg

Chalmers, Industri- och materialvetenskap

Procedia CIRP

22128271 (ISSN)

Vol. 91 121-126

30th CIRP Design on Design, CIRP Design 2020
Pretoria, South Africa,


Transportteknik och logistik

Övrig annan teknik

Inbäddad systemteknik



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