U.S. Department of Transportation
Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC 20590
202-366-4000
Federal Highway Administration Research and Technology
Coordinating, Developing, and Delivering Highway Transportation Innovations
| Project Information | ||
| Project ID: | FHWA-PROJ-13-0103 | |
| Project Name: | Computer Vision Measurements and Analysis to Support Naturalistic Driving Studies for Road Safety | |
| Project Status: | Active | |
| Start Date: | June 28, 2013 | |
| End Date: | May 31, 2016 | |
| Contact Information | ||
| Last Name: | Cobb | |
| First Name: | Lincoln | |
| Telephone: | 202-493-3313 | |
| E-mail: | lincoln.cobb@dot.gov | |
| Office: | Office of Safety Research and Development | |
| Program: | Exploratory Advanced Research | |
| Project detail | ||
| Project Description: | The project is divided into five phases. In phase 1, Oak Ridge National Laboratory (ORNL) will design a calibration procedure for instrumented vehicles, then acquire and process calibration data from the second Strategic Highway Research Program (SHRP2) 24-car study instruments. Phase 2 has two subphases consisting of the investigation of infield camera calibration methods (subphase 1) and the development of baseline Automated Identity Masking (AIM) and Automated Feature Extraction (AFE) modules (subphase 2). In phase 3, ORNL will test the baseline AIM and AFE modules and create an AIM-effectiveness metric based on biometric and feature extraction similarity. In phase 4, ORNL will conduct the initial evaluation of PT code with PT assistance. A larger data set from the full SHRP2 Naturalistic Driving Study (SNDS) will be created for blind evaluation of algorithms. In conjunction with this blind test set, ORNL will perform additional calibrations on SNDS vehicles as available and accessible. The Oak Ridge National Laboratory will also create computational load projections for PT algorithms of interest and begin design of a data-sharing architecture. Finally, in phase 5, ORNL will perform final comparisons and evaluations of PT algorithms. The Oak Ridge National Laboratory will develop a plan for future SNDS feature extraction grand challenges and data analytics challenges in conjunction with a data-sharing architecture. | |
| Goals: | The objective of this project is to support the development of video-feature extraction and identity-masking activities for the second Strategic Highway Research Program (SHRP2) Naturalistic Driving Study (SNDS). | |
| Test Methodology: | Investigation of infield camera calibration methods and the development of baseline AIM and AFE modules. | |
| Expected Benefits: | Identification and development of approaches that can be applied to the entire second Strategic Highway Research Program (SHRP2) dataset, which cannot be groundtruthed by manual human coders due to the sheer size of the data. A secondary benefit is the development and refinement of a sophisticated, highly specific dataset of 24 cars, which (despite the relatively small scale compared to the SHRP2 dataset) can be a useful resource for computer vision, transportation, and safety research in the future. | |
| FHWA Topics: | Research/Technologies--Turner-Fairbank Highway Research Center (TFHRC) | |
| TRT Terms: | Automatic data collection systems Traffic safety Research Safety Human factors Information technology |
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| FHWA Disciplines: | Safety |
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| Subject Areas: | Data and Information Technology Research Safety and Human Factors |
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