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Till Beemelmanns
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 10
Top Topics
Saliency Map
Point Cloud
Recurrent Neural Networks
Object Detection
Top Venues
CoRR
IV
VEHITS
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Publications
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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)
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
(2024)
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)
Till Beemelmanns
,
Quan Zhang
,
Lutz Eckstein
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection.
CoRR
(2024)
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
(2024)
Till Beemelmanns
,
Wassim Zahr
,
Lutz Eckstein
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps.
CoRR
(2023)
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
(2022)
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)
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
(2022)
Julian Bock
,
Till Beemelmanns
,
Markus Klösges
,
Jens Kotte
Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections.
VEHITS
(2017)