5 citations · 9 across the 11 of their papers we have counts for
6 papers · 1 filter
DD-MDN: Human Trajectory Forecasting with Diffusion-Based Dual Mixture Density Networks and Uncertainty Self-Calibration
Manuel Hetzel, Kerim Turacan, Hannes Reichert +2
Human Trajectory Forecasting (HTF) predicts future human movements from past trajectories and environmental context, with applications in Autonomous Driving, Smart Surveillance, an…
Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications
Manuel Hetzel, Hannes Reichert, Konrad Doll +1
Autonomous systems, like vehicles or robots, require reliable, accurate, fast, resource-efficient, scalable, and low-latency trajectory predictions to get initial knowledge about f…
Smart Infrastructure: A Research Junction
Manuel Hetzel, Hannes Reichert, Konrad Doll +1
Complex inner-city junctions are among the most critical traffic areas for injury and fatal accidents. The development of highly automated driving (HAD) systems struggles with the…
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset
Manuel Hetzel, Hannes Reichert, Günther Reitberger +3
Inner-city intersections are among the most critical traffic areas for injury and fatal accidents. Automated vehicles struggle with the complex and hectic everyday life within thos…
Sensor Equivariance by LiDAR Projection Images
Hannes Reichert, Manuel Hetzel, Steven Schreck +2
In this work, we propose an extension of conventional image data by an additional channel in which the associated projection properties are encoded. This addresses the issue of sen…
Cyclist Intention Detection: A Probabilistic Approach
Stefan Zernetsch, Hannes Reichert, Viktor Kress +2
This article presents a holistic approach for probabilistic cyclist intention detection. A basic movement detection based on motion history images (MHI) and a residual convolutiona…