Name
Abstract | ||
|---|---|---|
In this letter, we present a learning-based control approach for autonomous racing with an application to the AMZ Driverless race car gotthard. One major issue in autonomous racing is that accurate vehicle models that cover the entire performance envelope of a race car are highly nonlinear, complex, and complicated to identify, rendering them impractical for control. To address this issue, we empl... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LRA.2019.2926677 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Adaptive systems,Vehicle dynamics,Autonomous vehicles,Learning systems,Predictive control | Data point,Residual,Control theory,Flight envelope,Nonlinear system,Control theory,Model predictive control,Control engineering,Gaussian process,Engineering,Rendering (computer graphics) | Journal |
Volume | Issue | ISSN |
4 | 4 | 2377-3766 |
Citations | PageRank | References |
9 | 0.56 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juraj Kabzan | 1 | 9 | 0.56 |
| Lukas Hewing | 2 | 25 | 4.27 |
| Alexander Liniger | 3 | 31 | 8.79 |
| Melanie Nicole Zeilinger | 4 | 298 | 30.91 |