5 papers
Operationally Guided Placement-Aware Learning for Industrial Online 3D Bin Packing
Dheeraj Poolavaram, Aanchal Rajesh Chugh, Sebastian Dorn
The online three-dimensional bin packing problem (3D-BPP) is a longstanding challenge in logistics and industrial palletizing. Recent learning-based methods use a learned policy to…
GENPACK: KPI-Guided Multi-Criteria Genetic Algorithm for Industrial 3D Bin Packing
Dheeraj Poolavaram, Carsten Markgraf, Sebastian Dorn
The three-dimensional bin packing problem (3D-BPP) is a longstanding challenge in operations research and logistics. While classical heuristics and constructive methods can generat…
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…
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…
Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain
Marion Neumeier, Sebastian Dorn, Michael Botsch +1
This work provides a comprehensive analysis and interpretation of the graph spectral representation of traffic scenarios. Based on a spatio-temporal vehicle interaction graph, an o…