Autonomous vehicles on the edge: A survey on autonomous vehicle racing
The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are develo** software and hardware for …
recent years: Autonomous racing. Researchers are develo** software and hardware for …
Cautious nmpc with gaussian process dynamics for autonomous miniature race cars
This paper presents an adaptive high performance control method for autonomous miniature
race cars. Racing dynamics are notoriously hard to model from first principles, which is …
race cars. Racing dynamics are notoriously hard to model from first principles, which is …
Barrier-certified adaptive reinforcement learning with applications to brushbot navigation
This paper presents a safe learning framework that employs an adaptive model learning
algorithm together with barrier certificates for systems with possibly nonstationary agent …
algorithm together with barrier certificates for systems with possibly nonstationary agent …
Scalable deep kernel Gaussian process for vehicle dynamics in autonomous racing
Autonomous racing presents a challenging environment for testing the limits of autonomous
vehicle technology. Accurately modeling the vehicle dynamics (with all forces and tires) is …
vehicle technology. Accurately modeling the vehicle dynamics (with all forces and tires) is …
[PDF][PDF] Safe policy search using Gaussian process models
We propose a method to optimise the parameters of a policy which will be used to safely
perform a given task in a data-efficient manner. We train a Gaussian process model to …
perform a given task in a data-efficient manner. We train a Gaussian process model to …