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Sauerbeck, Florian;Halperin, Dan;Connert, Lukas;Betz, Johannes
CamRaDepth: Semantic Guided Depth Estimation Using Monocular Camera and Sparse Radar for Automotive Perception
IEEE Sensors Journal
2023
23
22
28442-28453

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Sauerbeck, Florian;Obermeier, Benjamin;Rudolph, Martin;Betz, Johannes
RGB-L: Enhancing Indirect Visual SLAM Using LiDAR-Based Dense Depth Maps
2023 3rd International Conference on Computer, Control and Robotics (ICCCR)
IEEE
2023

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Ank, Manuel;Göhmann, Jonas;Lienkamp, Markus
Multi-Cell Testing Topologies for Defect Detection Using Electrochemical Impedance Spectroscopy: A Combinatorial Experiment-Based Analysis
Batteries
2023
9
8
415

Mehr ...

Fent, Felix;Bauerschmidt, Philipp;Lienkamp, Markus
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
IEEE
2023

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Ank, Manuel;Brehler, Tobias;Lienkamp, Markus
Wire bond contact defect identification in battery modules of electric vehicles using pulses and differential voltage analysis
eTransportation
2023
18
100284

Mehr ...

Kröger, Thomas;Bös, Alexander;Maisel, Sven;Luciani, Sara;Schreiber, Markus;Lienkamp, Markus
Increasing the efficiency of li-ion battery cycle life testing with a partial-machine learning based end of life prediction
Journal of Energy Storage
2023
73
108842

Mehr ...

Krapf, Sebastian;Mayer, Kevin;Fischer, Martin
Points for energy renovation (PointER): A point cloud dataset of a million buildings linked to energy features
Scientific Data
2023
10
1

Mehr ...

Betz, Tobias;Schmeller, Maximilian;Korb, Andreas;Betz, Johannes
Latency Measurement for Autonomous Driving Software Using Data Flow Extraction
2023 IEEE Intelligent Vehicles Symposium (IV)
IEEE
2023

Mehr ...

Betz, Tobias;Schmeller, Maximilian;Teper, Harun;Betz, Johannes
How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software
2023 IEEE Intelligent Vehicles Symposium (IV)
IEEE
2023

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Huch, Sebastian;Sauerbeck, Florian;Betz, Johannes
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles
2023 IEEE Intelligent Vehicles Symposium (IV)
IEEE
2023