State-of-the-Art Sensor Models for Virtual Testing of Advanced Driver Assistance Systems/Autonomous Driving Functions

2020 ◽  
Vol 3 (3) ◽  
pp. 233-261
Author(s):  
Birgit Schlager ◽  
Stefan Muckenhuber ◽  
Simon Schmidt ◽  
Hannes Holzer ◽  
Relindis Rott ◽  
...  
2020 ◽  
Vol 24 (6) ◽  
pp. 747-762
Author(s):  
Thomas Lindgren ◽  
Vaike Fors ◽  
Sarah Pink ◽  
Katalin Osz

AbstractIn this paper, we discuss how people’s user experience (UX) of autonomous driving (AD) cars can be understood as a shifting anticipatory experience, as people experience degrees of AD through evolving advanced driver assistance systems (ADAS) in their everyday context. We draw on our ethnographic studies of five families, who had access to AD research cars with evolving ADAS features in their everyday lives for a duration of 1½ years. Our analysis shows that people gradually adopt AD cars, through a process that involves anticipating if they can trust them, what the ADAS features will do and what the longer-term technological possibilities will be. It also showed that this anticipatory UX occurs within specific socio-technical and environmental circumstances, which could not be captured easily in experimental settings. The implication is that studying anticipation offers us new insights into how people adopt AD in their everyday commute driving.


2021 ◽  
Vol 38 (3) ◽  
pp. 105-114
Author(s):  
Michael Gerstmair ◽  
Martin Gschwandtner ◽  
Rainer Findenig ◽  
Oliver Lang ◽  
Alexander Melzer ◽  
...  

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