Title
MAXIM - Mixed-reality Automotive Driving XIMulation.
Abstract
In-lab driving simulators have been favored by human-vehicle interaction researchers and interface designers due to their capabilities in unfettered construction of surrounding environments. On-road driving simulators, meanwhile, were developed for experiments in a real-world context. We introduce new methods and tools for simulating driving via virtual vehicle in real-world environments. The proposed system fully exploits the benefits of vivid sensory information in real road environments without sacrificing the unlimited potential of environment construction for it. In this paper, we explain the system design of the platform, and we verify its capabilities as a driving simulator through a pilot study (N = 10). The proposed platform is perceived as highly realistic and can easily be augmented to test new urban landscapes and futuristic interfaces before occupancies.
Year
DOI
Venue
2019
10.1109/ISMAR-Adjunct.2019.00124
ADJUNCT PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT 2019)
Keywords
Field
DocType
Immersive technology,mixed reality,autonomous vehicles,on-road simulation,methodolog
Driving simulator,Computer science,Virtual vehicle,Maxim,Systems design,Exploit,Human–computer interaction,Mixed reality,Multimedia,Immersive technology,Automotive industry
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Dohyeon Yeo100.34
Gwangbin Kim200.34
Seung-Jun Kim3100362.52