Ahmed Abouelazm

According to our database, Ahmed Abouelazm authored at least 23 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving.

Ahmed Abouelazm, Felix Klingebiel, Philip Schörner, J. Marius Zöllner

CoRR, May, 2026

Real-World On-Vehicle Evaluation of Embedding-Based Anomaly Detection.

Albert Schotschneider, Daniel Bogdoll, Svetlana Pavlitska, Ahmed Abouelazm, Johann Marius Zöllner

CoRR, May, 2026

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank.

Abhishek Vivekanandan, Ahmed Abouelazm, J. Marius Zöllner

CoRR, May, 2026

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving.

Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll, Philip Schörner, J. Marius Zöllner

CoRR, March, 2026

Efficient Cross-Country Data Acquisition Strategy for ADAS via Street-View Imagery.

Yin Wu, Daniel Slieter, Carl Esselborn, Ahmed Abouelazm, Tsung Yuan Tseng, J. Marius Zöllner

CoRR, February, 2026

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, July, 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 Zoellner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning.

Ahmed Abouelazm, Tim Weinstein, Tim Joseph, Philip Schörner, J. Marius Zöllner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

LanePerf: A Performance Estimation Framework for Lane Detection.

Yin Wu, Daniel Slieter, Ahmed Abouelazm, Christian Hubschneider, J. Marius Zöllner

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Goal-Based Trajectory Prediction for Improved Cross-Dataset Generalization.

Daniel Grimm, Ahmed Abouelazm, J. Marius Zöllner

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Why Braking? Scenario Extraction and Reasoning Utilizing LLM.

Yin Wu, Daniel Slieter, Vivek Subramanian, Ahmed Abouelazm, Robin Bohn, J. Marius Zöllner

Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2025

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, Ahmed Abouelazm, Mihai Kocsis, J. Marius Zöllner

Dataset, September, 2024

KI-PMF: Knowledge Integrated Plausible Motion Forecasting.

Abhishek Vivekanandan, Ahmed Abouelazm, Philip Schörner, J. Marius Zöllner

Proceedings of the IEEE Intelligent Vehicles Symposium, 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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving.

Ahmed Abouelazm, Jonas Michel, J. Marius Zöllner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Dream to Drive: Learning Conditional Driving Policies in Imagination.

Tim Joseph, Marcus Fechner, Ahmed Abouelazm, J. Marius Zöllner

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions.

Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Context-empowered Visual Attention Prediction in Pedestrian Scenarios.

Igor Vozniak, Philipp Müller, Lorena Hell, Nils Lipp, Ahmed Abouelazm, Christian Müller

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Point Cloud Neighborhood Estimation Method Using Deep Neuro-Evolution.

Ahmed Abouelazm, Igor Vozniak, Nils Lipp, Pavel Astreika, Christian Müller

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Deep Distance Metric Learning for Similarity Preserving Embedding of Point Clouds.

Ahmed Abouelazm, Igor Vozniak, Nils Lipp, Pavel Astreika, Christian Müller

Proceedings of the 18th International Joint Conference on Computer Vision, 2023