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Optimization of an Autostereoscopic Display for a Driving Simulator

Eggeling, Eva ; Fellner, Dieter W. ; Halm, Andreas ; Ullrich, Torsten (2013)
Optimization of an Autostereoscopic Display for a Driving Simulator.
GRAPP 2013 - IVAPP 2013.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, we present an algorithm to optimize a 3D stereoscopic display based on parallax barriers for a driving simulator. The main purpose of the simulator is to enable user studies in reproducible laboratory conditions to test and evaluate driving assistance systems. The main idea of our optimization approach is to determine by numerical analysis the best pattern for an autostereoscopic display with the best image separation for each eye, integrated into a virtual reality environment. Our implementation uses a differential evolution algorithm, which is a parallel, direct search method based on evolution strategies, because it converges fast and is inherently parallel. This allows an execution on a network of computers. The resulting algorithm allows optimizing the display and its corresponding pattern, such that a single user in the simulator environment sees a stereoscopic image without being supported by special eye-wear.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Eggeling, Eva ; Fellner, Dieter W. ; Halm, Andreas ; Ullrich, Torsten
Art des Eintrags: Bibliographie
Titel: Optimization of an Autostereoscopic Display for a Driving Simulator
Sprache: Englisch
Publikationsjahr: 2013
Verlag: SciTePress
Veranstaltungstitel: GRAPP 2013 - IVAPP 2013
Kurzbeschreibung (Abstract):

In this paper, we present an algorithm to optimize a 3D stereoscopic display based on parallax barriers for a driving simulator. The main purpose of the simulator is to enable user studies in reproducible laboratory conditions to test and evaluate driving assistance systems. The main idea of our optimization approach is to determine by numerical analysis the best pattern for an autostereoscopic display with the best image separation for each eye, integrated into a virtual reality environment. Our implementation uses a differential evolution algorithm, which is a parallel, direct search method based on evolution strategies, because it converges fast and is inherently parallel. This allows an execution on a network of computers. The resulting algorithm allows optimizing the display and its corresponding pattern, such that a single user in the simulator environment sees a stereoscopic image without being supported by special eye-wear.

Freie Schlagworte: Business Field: Virtual engineering, Research Area: Confluence of graphics and vision, Virtual reality (VR), 3D Displays, 3D Graphics, Stereoscopy, Optimization, Raster displays
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 04 Feb 2022 12:40
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