| Title | A Framework for Automated Driving System Testable Cases and Scenarios |
|---|---|
| Record ID | 65942 |
| Personal Name Creator |
Thorn, Eric; Kimmel, Shawn C.; Chaka, Michelle |
| Corporate Creator | Virginia Tech Transportation Institute; Southwest Research Institute; Booz Allen Hamilton, Inc. |
| Corporate Contributor |
United States. Department of Transportation. National Highway Traffic Safety Administration |
| Publisher | United States. Department of Transportation. National Highway Traffic Safety Administration |
| Publication Date | 20180900 |
| Language | English |
| Abstract | This report describes a framework for establishing sample preliminary tests for Automated Driving Systems. The focus is on light duty vehicles exhibiting higher levels of automation, where the system is required to perform the full dynamic driving task, including lateral and longitudinal control, as well as object and event detection and response. |
| Public Note | Thorn, E., Kimmel, S., and Chaka, M. (2018, September). A Framework for Automated Driving System Testable Cases and Scenarios (Report No. DOT HS 812 623). Washington, DC: National Highway Traffic Safety Administration. |
| Rosap ID | dot:38824 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/38824 |
| TRT Terms | Intelligent vehicles; Autonomous vehicles; Fail safe systems; Detectors by object of detection; Detection and identification systems; Automatic vehicle detection and identification systems; Tests; Automated vehicle control for ground vehicles; Case studies; Detection and identification; Detection and identification technologies; Light vehicles; Testing |
| General Subjects | automated driving systems; fail-safe mechanisms; object and event detection and response; operational design domain |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1689304 |
| Report Number | DOT HS 812 623 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/65000/65900/65942/DOT_HS_812_623_Replacement_20190702.pdf |
| Format | |
| Database | NTL Digital Repository |