Gaussian Processes for Vehicle Dynamics Learning in Autonomous
Racing
Jingyun Ning,
Madhur Behl
Abstract:<div>In high-speed autonomous racing, it is necessary to have an accurate racecar
vehicle dynamics model in order to push the vehicle closer to its limits. The
choice of the dynamics model has to be made by balancing the computational
demands in contrast to model complexity. Learning-based methods, such as
Gaussian processes (GP)-based regression, have shown promise toward
approximating the vehicle dynamic… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.