Enhanced ADAS II

ADAS can be described as electronic systems in a vehicle that use advanced technologies to support the driver by either providing the driver with information via the vehicle's Human-Machine-Interface (HMI) or automatically performing actions in driving tasks. The term includes a number of functions that essentially use sensors in the vehicle such as cameras and radar to perceive its environment. ADAS has proven to be effective in increasing the safety and efficiency of vehicles. In addition to sensors such as cameras and radar, other types of data sources such as weather data and map data can also be used to increase the technical system's understanding of the environment and, as a result, contribute to better decisions in driving tasks as well as provide the driver with more extensive and reliable information. Technical functions such as adaptive cruise control, lane keeping support, automatic emergency braking and blind spot warning are today equipped in many newer vehicle models, but there are studies that show that consumers to some extent avoid using ADAS when they have the opportunity to deactivate them.

The project intends to develop proof-of-concept prototypes that with extended perception have an enhanced situation adaptation, planning and regulation of driving decisions in varying traffic environments. Furthermore, the project intends to improve both functionality and usability in ADAS through the extended possibilities for new improvements that driver- and cabin monitoring, as well as integration of data sources provide. It thus enables adaptations in e.g. vehicle behavior but also in user interface design.

Expected results include

1. Improved ADAS and HMI functionality
2. Innovative driver and cabin monitoring strategies
3. Testable prototypes in vehicles

The general research question in the project is: How can user experience and trust towards ADAS be improved after integrating perception data (external and internal), maps and HMI in existing ADAS?