Deep Distance Metric Learning for Similarity Preserving Embedding of Point Clouds. - Ahmed Abouelazm; Igor Vozniak; Nils Lipp; Pavel Astreika; Christian Müller 014 (VISIGRAPP (4: VISAPP), 2023)

Point Cloud Neighborhood Estimation Method Using Deep Neuro-Evolution. - Ahmed Abouelazm; Igor Vozniak; Nils Lipp; Pavel Astreika; Christian Müller 014 (VISIGRAPP (4: VISAPP), 2023)

Context-empowered Visual Attention Prediction in Pedestrian Scenarios. - Igor Vozniak; Philipp Müller 001; Lorena Hell; Nils Lipp; Ahmed Abouelazm; Christian Müller 014 (WACV, 2023)

Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. - Daniel Bogdoll; Jing Qin; Moritz Nekolla; Ahmed Abouelazm; Tim Joseph; J. Marius Zöllner (ICRA, 2024)

Dream to Drive: Learning Conditional Driving Policies in Imagination. - Tim Joseph; Marcus Fechner; Ahmed Abouelazm; J. Marius Zöllner (ITSC, 2024)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving. - Ahmed Abouelazm; Jonas Michel; J. Marius Zöllner (IV, 2024)

Last Mile Delivery with Autonomous Shuttles: ROS-based Integration of Smart Cargo Cages. - Sven Ochs; Nico Lambing; Ahmed Abouelazm; Marc René Zofka; J. Marius Zöllner (IV, 2024)

KI-PMF: Knowledge Integrated Plausible Motion Forecasting. - Abhishek Vivekanandan; Ahmed Abouelazm; Philip Schörner; J. Marius Zöllner (IV, 2024)

Empowering Autonomous Shuttles with Next-Generation Infrastructure. - Sven Ochs; Melih Yazgan; Rupert Polley; Albert Schotschneider; Stefan Orf; Marc Uecker; Maximilian Zipfl; Julian Burger; Abhishek Vivekanandan; Jennifer Amritzer; Marc René Zofka; Tobias Fleck; et al. (Zenodo, 2024)

Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving. - Ahmed Abouelazm; Jonas Michel; Helen Gremmelmaier; Tim Joseph; Philip Schörner; J. Marius Zöllner (CoRR, 2025)

Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving. - Ahmed Abouelazm; Mianzhi Liu; Christian Hubschneider; Yin Wu; Daniel Slieter; J. Marius Zöllner (CoRR, 2025)

TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility. - Marius Baden; Ahmed Abouelazm; Christian Hubschneider; Yin Wu; Daniel Slieter; J. Marius Zöllner (CoRR, 2025)

Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning. - Ahmed Abouelazm; Tim Weinstein; Tim Joseph; Philip Schörner; J. Marius Zöllner (CoRR, 2025)

LanePerf: a Performance Estimation Framework for Lane Detection. - Yin Wu; Daniel Slieter; Ahmed Abouelazm; Christian Hubschneider; J. Marius Zöllner (CoRR, 2025)

Why Braking? Scenario Extraction and Reasoning Utilizing LLM. - Yin Wu; Daniel Slieter; Vivek Subramanian; Ahmed Abouelazm; Robin Bohn; J. Marius Zöllner (CoRR, 2025)

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization. - Daniel Grimm; Ahmed Abouelazm; J. Marius Zöllner (CoRR, 2025)

Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL. - Ahmed Abouelazm; Johannes Ratz; Philip Schörner; J. Marius Zöllner (CoRR, 2025)

Bridging Simulation and Usability: A User-Friendly Framework for Scenario Generation in CARLA. - Ahmed Abouelazm; Mohammad Mahmoud; Conrad Walter; Oleksandr Shchetsura; Erne Hussong; Helen Gremmelmaier; J. Marius Zöllner (CoRR, 2025)