A three-feature Gaussian process residual model, selected from tire force physics, is added to a model predictive controller for autonomous racing and is shown to reduce prediction error and lap time.
Towards the unified principles for level 5 autonomous vehicles,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Learning Based MPC for Autonomous Driving Using a Low Dimensional Residual Model
A three-feature Gaussian process residual model, selected from tire force physics, is added to a model predictive controller for autonomous racing and is shown to reduce prediction error and lap time.