Name
Abstract | ||
|---|---|---|
This paper proposes an approach to automatically generating test cases for testing motion controllers of autonomous vehicular systems. Test scenarios may consist of single or multiple vehicles under test at the same time. Tests are performed in simulation environments. The approach is based on using a robustness metric for evaluating simulation outcomes as a cost function. Initial states and inputs are updated by stochastic optimization methods between the tests for achieving smaller robustness values. The test generation framework has been implemented in the toolbox S-TaLiRo. The proposed framework's ability to generate interesting test cases is demonstrated by a case study. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | Stochastic optimization,Robustness testing,Automatic test generation,Simulation,Toolbox,Robustness (computer science),Control engineering,Scenario testing,Test case,Engineering,Trajectory |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cumhur Erkan Tuncali | 1 | 5 | 2.14 |
| Theodore P. Pavlic | 2 | 42 | 10.50 |
| Georgios E. Fainekos | 3 | 804 | 52.65 |