Driver360: A Four-Dimensional Scanning System to Better Understand Drivers [supporting datasets]

Baek, Stephen; Iowa State University

doi:10.7910/DVN/LMPH3U

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Driver360: A Four-Dimensional Scanning System to Better Understand Drivers [supporting datasets]

2019-01-24
See Associated Publication(s)
By Baek, Stephen

[PDF-193.85 KB]

English

Details Supporting Files Publications You May Also Like

Details:

Creators:

Baek, Stephen
Corporate Creators:

Iowa State University
Corporate Contributors:

Safety Research Using Simulation (SAFER-SIM) University Transportation Center
Subject/TRT Terms:

[+]

Automatic Data Collection Systems Behavior Cameras Design Drivers Driving Simulators
DOI:

https://doi.org/10.7910/DVN/LMPH3U
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

Safety Research Using Simulation (SAFER-SIM) University Transportation Center
Abstract:

The main objective of this project was to construct a four-dimensional (4D = spatial + temporal) scanning system that can be installed in a driving simulator environment. The novel 4D scanning system, named Driver360, comprises 32 digital single lens reflex (DSLR) cameras and captures time-synchronized high-definition (HD) videos (≥ 1080p) of a subject sitting in and operating a driving simulator from different angles. In this project, a portable structure that mounts the cameras and can be attached to the existing NADS MiniSim simulator was designed, tested, and manufactured. The structure comprises three moveable stands that are attached to the front, left, and right sides of the NADS MiniSim setup. The cameras mounted on the stands are facing the driver seat from a configuration that the authors empirically found is suitable. An electronics-controlled triggering system of the Driver360 system was added so the cameras can be triggered all at once.
Format:

ZIP
Funding:

69A3551747131
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:f4f019c2dab6e695424240cd0f549b7eb315fffcd92ec60edc212f83ec073485
Download URL:

https://rosap.ntl.bts.gov/view/dot/42633/dot_42633_DS1.pdf
File Type:

SAFER-SIM_67602_Metadata.json

bin

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