Brogan, Michael and Kaneswaran, David and Commins, Sean and Markham, Charles and Deegan, Catherine (2014) Automatic Generation and Population of a Graphics-Based Driving Simulator. Transportation Research Record: Journal of the Transportation Research Board, 2434 (1). pp. 95-102. ISSN 0361-1981

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Abstract

A stereo image and high-accuracy positional data were used to generate and populate a low-fidelity graphics model. The data were acquired by a simple mobile mapping system. The use of positional data made it possible to generate automatically a sparse model consisting of a road, central road marking, a green area, and a skybox. This allowed for several applications, such as the synchronization of the model with the video and the semiautomatic population of road signs into the model data. An experiment was conducted to evaluate the model and the video as viable sources for behavioral testing of drivers. The correlations between driver speed in response to the model and the video are presented; this presentation allows for an examination of the effect of the fidelity of the driving simulator’s visual cue stream. The study results were used to compare driver speed in a real vehicle with driver speeds in the video and model roads, with correlations of 84.6% (between video and ground truth), 87.3% (between model and ground truth), and 92.8% (between video and model).

Item Type:	Article
Keywords:	Automatic; Generation; Population; Graphics-Based; Driving; Simulator;
Academic Unit:	Assisting Living & Learning,ALL institute Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15545
Identification Number:	https://doi.org/10.3141/2434-12
Depositing User:	Dr. Charles Markham
Date Deposited:	22 Feb 2022 11:50
Journal or Publication Title:	Transportation Research Record: Journal of the Transportation Research Board
Publisher:	SAGE Publications
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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