| Title | Automated Video Analysis: Analyzing Large Quantities of Transportation Research Data |
|---|---|
| Record ID | 61521 |
| Personal Name Creator |
Cobb, Lincoln |
| Source | Per TRID record: Serial: Exploratory Advanced Research Program Fact Sheet, 2015/08 Publisher: Federal Highway Administration |
| Corporate Creator | United States. Federal Highway Administration. Office of Safety Research and Development |
| Publisher | United States. Federal Highway Administration |
| Publication Date | 20150800 |
| Language | English |
| Abstract | The second Strategic Highway Research Program (SHRP 2) Safety research area has produced unprecedented data for highway researchers in the form of the naturalistic driving study (NDS). With approximately 2 petabytes of data available to researchers, most of which is video data, new automated tools for data extraction and analysis are required. Developing a prototype tool was the goal of the Exploratory Advanced Research (EAR) Program project, “Machine Learning for Automated Analysis of Large Volumes of Highway Video.” The National Robotics Engineering Center, at Carnegie Mellon University (CMU), conducted this research, which was funded by the Federal Highway Administration (FHWA) in 2012. |
| Rosap ID | dot:39188 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/39188 |
| TRT Terms | Automatic data collection systems; Data analysis; Information processing; Prototypes; Research projects; Video |
| General Subjects | Data and Information Technology; Highways; I70: Traffic and Transport |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1576265 |
| Report Number | FHWA-HRT-15-070; HRTM-30/08-15(WEB)E |
| Availability | Federal Highway Administration |
| Resource type | Brief |
| URL | https://ntlrepository.blob.core.windows.net/lib/61000/61500/61521/15070.pdf |
| Format | |
| Database | NTL Digital Repository |