4 papers
X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction
Aanchal Rajesh Chugh, Marion Neumeier, Sebastian Dorn
Accurate trajectory prediction is crucial for safe and reliable autonomous driving systems, requiring models that capture long-term temporal dependencies while accounting for socia…
Uncertainty-Aware Diffusion Model for Multimodal Highway Trajectory Prediction via DDIM Sampling
Marion Neumeier, Niklas RoÃberg, Michael Botsch +1
Accurate and uncertainty-aware trajectory prediction remains a core challenge for autonomous driving, driven by complex multi-agent interactions, diverse scene contexts and the inh…
Assessing the Completeness of Traffic Scenario Categories for Automated Highway Driving Functions via Cluster-based Analysis
Niklas RoÃberg, Marion Neumeier, Sinan Hasirlioglu +2
The ability to operate safely in increasingly complex traffic scenarios is a fundamental requirement for Automated Driving Systems (ADS). Ensuring the safe release of ADS functions…
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
Marion Neumeier, Sebastian Dorn, Michael Botsch +1
This work introduces the conditioned Vehicle Motion Diffusion (cVMD) model, a novel network architecture for highway trajectory prediction using diffusion models. The proposed mode…