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ORCIDTill Beemelmanns
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2020 – today
- 2024
[c4]Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein:
CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. IV 2024: 3100-3106- [c3]Till Beemelmanns, Quan Zhang, Christian Geller, Lutz Eckstein:
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection. IV 2024: 3255-3261 - [i6]Till Beemelmanns, Quan Zhang, Lutz Eckstein:
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection. CoRR abs/2402.11677 (2024) - [i5]Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein:
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods. CoRR abs/2402.11680 (2024) - [i4]Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe
, Till Beemelmanns, Lutz Eckstein:
CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. CoRR abs/2404.01836 (2024) - 2023
- [i3]Till Beemelmanns, Wassim Zahr, Lutz Eckstein:
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps. CoRR abs/2312.14606 (2023) - 2022
- [c2]Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein:
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods. IV 2022: 345-351 - [i2]Lennart Reiher, Bastian Lampe, Timo Woopen, Raphael van Kempen, Till Beemelmanns, Lutz Eckstein:
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection. CoRR abs/2209.03630 (2022) - [i1]Raphael van Kempen, Bastian Lampe, Lennart Reiher, Timo Woopen, Till Beemelmanns, Lutz Eckstein:
Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data. CoRR abs/2211.08278 (2022)
2010 – 2019
- 2017
- [c1]Julian Bock, Till Beemelmanns, Markus Klösges, Jens Kotte:
Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections. VEHITS 2017: 346-351
Coauthor Index
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