Till Beemelmanns

According to our database, Till Beemelmanns authored at least 12 papers between 2017 and 2026.

Collaborative distances:

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

2026

Towards Trustworthy and Explainable AI for Perception Models: From Concept to Prototype Vehicle Deployment.

Till Beemelmanns, Shayan Sharifi, Manas Mehrotra, Ayushman Choudhuri, Lutz Eckstein

CoRR, May, 2026

Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift.

Till Beemelmanns, Alexey Nekrasov, Stefan Vilceanu, Jonas Steinhaus, Timo Woopen, Bastian Leibe, Lutz Eckstein

CoRR, May, 2026

karl. - A Research Vehicle for Automated and Connected Driving.

Jean-Pierre Busch, Lukas Ostendorf, Guido Linden, Lennart Reiher, Till Beemelmanns, Bastian Lampe, Timo Woopen, Lutz Eckstein

CoRR, February, 2026

2025

OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction.

Severin Heidrich, Till Beemelmanns, Alexey Nekrasov, Bastian Leibe, Lutz Eckstein

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection.

Till Beemelmanns, Quan Zhang, Lutz Eckstein

CoRR, 2024

CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS.

Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection.

Till Beemelmanns, Quan Zhang, Christian Geller, Lutz Eckstein

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps.

Till Beemelmanns, Wassim Zahr, Lutz Eckstein

CoRR, 2023

2022

Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data.

Raphael van Kempen, Bastian Lampe, Lennart Reiher, Timo Woopen, Till Beemelmanns, Lutz Eckstein

CoRR, 2022

Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection.

Lennart Reiher, Bastian Lampe, Timo Woopen, Raphael van Kempen, Till Beemelmanns, Lutz Eckstein

CoRR, 2022

3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods.

Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2017

Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections.

Julian Bock, Till Beemelmanns, Markus Klösges, Jens Kotte

Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017