En jämförande studie av rörelser, verbala och visuella signaler i automatiserade körsystem (ADS)
Forskningsprojekt, 2020

An automated driving system (ADS) will need to communicate its intended actions in order to avoid alarming or surprising drivers and other occupants of a vehicle. This communication can take different forms, e.g. motion or haptic cues (for example, sequences of haptic feedbacks in the form of vibrations), visual cues (projected on screen; for instance, pedestrian detection), and verbal cues (spoken voice from an intelligent agent). It is an open question which of these modes of communication provide the best information transfer (particularly with regards to safety) depending on the context and the individual characteristics of the driver (or occupants).

In this pre-study, we will study some combinations of cues in different contexts, assessing the relative merits regarding safety and other aspects such as riding comfort, fuel efficiency and acceptability. A specific use case is automated driving for fuel efficiency, a case that will involve cues that might not be easily understandable to the occupants of the vehicle.

Deltagare

Mattias Wahde (kontakt)

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Mauro Bellone

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Pinar Boyraz Baykas

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Marco Dozza

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Krister Wolff

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Finansiering

Chalmers

Finansierar Chalmers deltagande under 2020

Relaterade styrkeområden och infrastruktur

Informations- och kommunikationsteknik

Styrkeområden

Transport

Styrkeområden

Grundläggande vetenskaper

Fundament

Innovation och entreprenörskap

Drivkrafter

Mer information

Senast uppdaterat

2020-05-22