4 papers
SEGAR: Selective Enhancement for Generative Augmented Reality
Fanjun Bu, Chenyang Yuan, Hiroshi Yasuda
Generative world models offer a compelling foundation for augmented-reality (AR) applications: by predicting future image sequences that incorporate deliberate visual edits, they e…
Portobello: Extending Driving Simulation from the Lab to the Road
Fanjun Bu, Stacey Li, David Goedicke +4
In automotive user interface design, testing often starts with lab-based driving simulators and migrates toward on-road studies to mitigate risks. Mixed reality (XR) helps translat…
Detection Threshold of Audio Haptic Asynchrony in a Driving Context
Gyanendra Sharma, Hiroshi Yasuda, Manuel Kuehner
In order to provide perceptually accurate multimodal feedback during driving situations, it is vital to understand the threshold at which drivers are able to recognize asyncrony be…
Continuous Visual Feedback of Risk for Haptic Lateral Assistance
Gyanendra Sharma, Hiroshi Yasuda, Manuel Kuehner
Lateral assistance systems are a significant part of the currently existing Advanced Driving Assistance System (ADAS). In most cases, such systems provide intermittent audio and ha…