Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions

no code implementations • 6 Feb 2024 • Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner

Reinforcement Learning is a highly active research field with promising advancements.

Autonomous Driving reinforcement-learning

KI-PMF: Knowledge Integrated Plausible Motion Forecasting

no code implementations • 18 Oct 2023 • Abhishek Vivekanandan, Ahmed Abouelazm, Philip Schörner, J. Marius Zöllner

Accurately forecasting the motion of traffic actors is crucial for the deployment of autonomous vehicles at a large scale.

Autonomous Vehicles Motion Forecasting +1

Context-empowered Visual Attention Prediction in Pedestrian Scenarios

no code implementations • 30 Oct 2022 • Igor Vozniak, Philipp Mueller, Lorena Hell, Nils Lipp, Ahmed Abouelazm, Christian Mueller

In this paper, we present Context-SalNET, a novel encoder-decoder architecture that explicitly addresses three key challenges of visual attention prediction in pedestrians: First, Context-SalNET explicitly models the context factors urgency and safety preference in the latent space of the encoder-decoder model.

Navigate Saliency Prediction