Name
Abstract | ||
|---|---|---|
Do we really need to drive several million kilometres to test self-driving cars? Can proper test data validation reduce the workload? CV-HAZOP is a first step for finding the answers. It is a guideline for evaluation of existing datasets as well as for designing of new test data. Both with emphasis on maximising test case coverage, diversity, and reduce redundancies. |
Year | Venue | Field |
|---|---|---|
2017 | ERCIM NEWS | Data mining,Hazard and operability study,Computer science,Computational photography,Test data |
DocType | Volume | Issue |
Journal | 2017 | 108 |
ISSN | Citations | PageRank |
0926-4981 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zendel, O. | 1 | 3 | 2.07 |
| Markus Murschitz | 2 | 9 | 2.91 |
| Martin Humenberger | 3 | 217 | 15.74 |