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Optimization of an Autostereoscopic Display for a Driving Simulator

Eggeling, Eva and Fellner, Dieter W. and Halm, Andreas and Ullrich, Torsten (2013):
Optimization of an Autostereoscopic Display for a Driving Simulator.
pp. 318-326, SciTePress, GRAPP 2013 - IVAPP 2013, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Eggeling, Eva and Fellner, Dieter W. and Halm, Andreas and Ullrich, Torsten
Title: Optimization of an Autostereoscopic Display for a Driving Simulator
Language: English
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.

Publisher: SciTePress
Uncontrolled Keywords: Business Field: Virtual engineering, Research Area: Confluence of graphics and vision, Virtual reality (VR), 3D Displays, 3D Graphics, Stereoscopy, Optimization, Raster displays
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: GRAPP 2013 - IVAPP 2013
Date Deposited: 12 Nov 2018 11:16
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