Till Beemelmanns

13 papers A* 1C 4Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
karl. - A Research Vehicle for Automated and Connected Driving.
CoRR
Jean-Pierre Busch, Lukas Ostendorf, Guido Linden, Lennart Reiher, Till Beemelmanns, Bastian Lampe, Timo Woopen, Lutz Eckstein
2025 A* conf
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction.
ICRA
Severin Heidrich, Till Beemelmanns, Alexey Nekrasov, Bastian Leibe, Lutz Eckstein
2025 J jnl
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction.
CoRR
Severin Heidrich, Till Beemelmanns, Alexey Nekrasov, Bastian Leibe, Lutz Eckstein
2024 J jnl
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods.
CoRR
Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
2024 C conf
CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS.
IV
Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein
2024 J jnl
CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS.
CoRR
Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein
2024 C conf
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection.
IV
Till Beemelmanns, Quan Zhang, Christian Geller, Lutz Eckstein
2024 J jnl
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection.
CoRR
Till Beemelmanns, Quan Zhang, Lutz Eckstein
2023 J jnl
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps.
CoRR
Till Beemelmanns, Wassim Zahr, Lutz Eckstein
2022 C conf
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods.
IV
Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
2022 J jnl
Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data.
CoRR
Raphael van Kempen, Bastian Lampe, Lennart Reiher, Timo Woopen, Till Beemelmanns, Lutz Eckstein
2022 J jnl
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection.
CoRR
Lennart Reiher, Bastian Lampe, Timo Woopen, Raphael van Kempen, Till Beemelmanns, Lutz Eckstein
2017 C conf
Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections.
VEHITS
Julian Bock, Till Beemelmanns, Markus Klösges, Jens Kotte