Name
Title | ||
|---|---|---|
Adaptive generation of challenging scenarios for testing and evaluation of autonomous vehicles. |
Abstract | ||
|---|---|---|
•A novel framework for generating test cases for autonomous vehicles is proposed.•Adaptive sampling significantly reduces the number of simulations required.•Adjacency clustering identifies performance boundaries of the system.•Approach successfully applied to complex unmanned underwater vehicle missions. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jss.2017.10.031 | Journal of Systems and Software |
Keywords | Field | DocType |
Simulation based testing,Optimization,Autonomous vehicles | Search algorithm,Systems engineering,Computer science,sort,Control engineering,Software,Test engineer,Scenario testing,Autonomous system (Internet),Autonomous system (mathematics),Cluster analysis | Journal |
Volume | ISSN | Citations |
137 | 0164-1212 | 12 |
PageRank | References | Authors |
0.98 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Galen E. Mullins | 1 | 14 | 2.39 |
| Paul Stankiewicz | 2 | 15 | 3.45 |
| R. Chad Hawthorne | 3 | 12 | 0.98 |
| Satyandra K Gupta | 4 | 687 | 77.11 |