Michael Munz

Orcid: 0000-0003-3427-3827

Affiliations:
  • Ulm University of Applied Sciences, Institute for Medical Engineering and Mechatronic, Germany
  • Ulm University, Institute of Measurement, Control, and Microtechnology, Germany (PhD 2010)


According to our database1, Michael Munz authored at least 14 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures.
Sensors, 2023

Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents.
CoRR, 2023

2021
Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition.
Sensors, 2021

Novel Approach To Synchronisation Of Wearable IMUs Based On Magnetometers.
CoRR, 2021

2020
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking - Technical Affordances and used Methods.
CoRR, 2020

2013
Real-Time Multi-Object Tracking using Random Finite Sets.
IEEE Trans. Aerosp. Electron. Syst., 2013

2012
Impact of out-of-sequence measurements on the joint integrated probabilistic data association filter for vehicle safety systems.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Using grid maps to reduce the number of false positive measurements in advanced driver assistance systems.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011
Using Dempster-Shafer-based modeling of object existence evidence in sensor fusion systems for advanced driver assistance systems.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2010
Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems.
IEEE Intell. Transp. Syst. Mag., 2010

Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Generalized fusion of heterogeneous sensor measurements for multi target tracking.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
A sensor independent probabilistic fusion system for driver assistance systems.
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009


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