Generation of Virtual Display Surfaces for In-vehicle Contextual Augmented 
Reality

Sridhar, Srinath; Ng-Thow-Hing, Victor

doi:10.1109/ISMAR.2012.6402592

Datensatz

DATENSATZ AKTIONENEXPORT

Zur Ablage hinzufügen

Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben

Konferenzbeitrag

Generation of Virtual Display Surfaces for In-vehicle Contextual Augmented Reality

MPG-Autoren

/persons/resource/persons79499

Sridhar, Srinath
Computer Graphics, MPI for Informatics, Max Planck Society;

Externe Ressourcen

Es sind keine externen Ressourcen hinterlegt

Volltexte (beschränkter Zugriff)

Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.

Volltexte (frei zugänglich)

Es sind keine frei zugänglichen Volltexte in PuRe verfügbar

Ergänzendes Material (frei zugänglich)

Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar

Zitation

Sridhar, S., & Ng-Thow-Hing, V. (2012). Generation of Virtual Display Surfaces for In-vehicle Contextual Augmented Reality. In Proceedings of the 11th IEEE International Symposium on Mixed and Augmented Reality (pp. 317-318). Piscataway, NJ: IEEE. doi:10.1109/ISMAR.2012.6402592.

Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0014-F30C-B

Zusammenfassung

In-vehicle contextual augmented reality (I-CAR) has the potential to provide novel visual feedback to drivers for an enhanced driving experience. To enable I-CAR, we present a parametrized road trench model (RTM) for dynamically extracting display surfaces from a driver's point of view that is adaptable to constantly changing road curvature and intersections. We use computer vision algorithms to analyze and extract road features that are used to estimate the parameters of the RTM. GPS coordinates are used to quickly compute lighting parameters for shading and shadows. Novel driver-based applications that use the RTM are presented.