Till Beemelmanns

According to our database, Till Beemelmanns authored at least 6 papers between 2017 and 2024.

Collaborative distances:

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

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

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