Deep Learning-based Motion Prediction Leveraging Autonomous Driving Datasets: State-of-the-Art
Autonomous vehicles continue to advance, primarily due to the continuous development
and improvement of deep learning methods. Motion prediction of road users is a function …
and improvement of deep learning methods. Motion prediction of road users is a function …
Self-evaluation of automated vehicles based on physics, state-of-the-art motion prediction and user experience
A Stockem Novo, C Hürten, R Baumann, P Sieberg - Scientific Reports, 2023 - nature.com
Legal restrictions allow to give full control to automated vehicles for longer time periods
either in restricted areas or when moving with reduced speed. Although being technically …
either in restricted areas or when moving with reduced speed. Although being technically …
[HTML][HTML] Towards explainable motion prediction using heterogeneous graph representations
Motion prediction systems play a crucial role in enabling autonomous vehicles to navigate
safely and efficiently in complex traffic scenarios. Graph Neural Network (GNN)-based …
safely and efficiently in complex traffic scenarios. Graph Neural Network (GNN)-based …