4 papers · 1 filter
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural Processes
Lars Ullrich, Andreas Völz, Knut Graichen
Trajectory planners of autonomous vehicles usually rely on physical models to predict the vehicle behavior. However, despite their suitability, physical models have some shortcomin…
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows
Georg Rabenstein, Lars Ullrich, Knut Graichen
Alongside optimization-based planners, sampling-based approaches are often used in trajectory planning for autonomous driving due to their simplicity. Model predictive path integra…
Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs
Lars Ullrich, Michael Buchholz, Klaus Dietmayer +1
Automated driving (AD) is promising, but the transition to fully autonomous driving is, among other things, subject to the real, ever-changing open world and the resulting challeng…
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich, Zurab Mujirishvili, Knut Graichen
In the trajectory planning of automated driving, data-driven statistical artificial intelligence (AI) methods are increasingly established for predicting the emergent behavior of o…