A Semi-Automatic Data Annotation Tool for Driving Simulator Data Reduction
Manually annotating large video and digital databases of driving behavior is costly and time-consuming. This paper will discuss a data annotation tool that automates the process and reduces the number of man-hours required to annotate data. The laboratory has utilized this tool on a large database of simulated driving data to develop context aware driving systems. The semi-automatic data annotation tool supports our research efforts for driving database creation to enable data-driven approaches in the driving domain such as driving state and maneuver classification. The annotation tool employs Random Forests as bootstrapped classifiers which are then used to predict annotations for new data files. The authors describe an experiment which generated a large database of driving data with our DriveSafety simulator, the process by which annotations are automatically generated, and the results of how using the data annotation tool markedly reduced the amount of time required to annotate the data among three users with varying levels of annotation experience. The major contribution in developing this tool is making parts of the annotation process automatic enabling the user to verify automatically generated annotations, rather than annotating from scratch. This tool has the potential to become a standard data reduction technique.
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Corporate Authors:
National Advanced Driving Simulator
University of Iowa, 2401 Oakdale Boulevard
Iowa City, IA United States 52242-5003 -
Authors:
- Schreiner, Chris
- Zhang, Harry
- Guerrero, Claudia
- Torkkola, Kari
- Zhang, Keshu
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Conference:
- Driving Simulation Conference, North America 2007 (DSC-NA 2007)
- Location: Iowa City IA, United States
- Date: 2007-9-12 to 2007-9-14
- Publication Date: 2007
Language
- English
Media Info
- Media Type: CD-ROM
- Features: Figures; References; Tables;
- Pagination: 9p
- Monograph Title: Driving Simulation Conference, North America 2007
Subject/Index Terms
- TRT Terms: Automatic data collection systems; Data collection; Data reduction; Databases; Driving simulators; Highway safety; Human factors in crashes; Travel behavior
- Uncontrolled Terms: Annotations
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I10: Economics and Administration;
Filing Info
- Accession Number: 01139665
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 18 2009 7:07AM