571 citations · 587 across the 2 of their papers we have counts for
4 papers
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
Holger Caesar, Juraj Kabzan, Kok Seang Tan +6
In this work, we propose the world's first closed-loop ML-based planning benchmark for autonomous driving. While there is a growing body of ML-based motion planners, the lack of es…
On Maximizing Lateral Clearance of an Autonomous Vehicle in Urban Environments
Francesco Seccamonte, Juraj Kabzan, Emilio Frazzoli
We consider the problem of maximizing distance to road agents for a self-driving car. To this extent, we employ a Model Predictive Control (MPC) approach for the steering tracking…
AMZ Driverless: The Full Autonomous Racing System
Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart +19
This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and…
Cautious Model Predictive Control using Gaussian Process Regression
Lukas Hewing, Juraj Kabzan, Melanie N. Zeilinger
Gaussian process (GP) regression has been widely used in supervised machine learning due to its flexibility and inherent ability to describe uncertainty in function estimation. In…