Automatic Generation and Population of a Graphics-Based Driving Simulator: Use of Mobile Mapping Data for Behavioral Testing of Drivers
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).
- Record URL:
- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309295222
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Authors:
- Brogan, Michael
- Kaneswaran, David
- Commins, Sean
- Markham, Charles
- Deegan, Catherine
- Publication Date: 2014
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 95–102
- Monograph Title: Human Performance, User Information, and Simulation 2014
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2434
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Behavior; Computer graphics; Driver performance; Drivers; Driving simulators; Mapping; Mathematical models; Speed; Video
- Subject Areas: Data and Information Technology; Education and Training; Highways; Safety and Human Factors; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01520131
- Record Type: Publication
- ISBN: 9780309295222
- Report/Paper Numbers: 14-0473
- Files: TRIS, TRB, ATRI
- Created Date: Mar 26 2014 10:13AM