Thomas Braml

According to our database, Thomas Braml authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Limited-data transfer learning for semantic segmentation and pre-labeling of 3D shell construction LiDAR scans.

Lukas Rauch, Thomas Braml

J. Inf. Technol. Constr., 2026

2025

Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes.

Lukas Rauch, Thomas Braml

CoRR, February, 2025

Design of a Digital Twin-Based System for Bridges.

Tagline Treichel, Aaron Zielstorff, Mohammad Ghazanfar Ali Danish, Johannes Wimmer, Stefan Küttenbaum, Thomas Braml

Proceedings of the 8th IEEE International Conference on Industrial Cyber-Physical Systems, 2025

synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?

Johannes Flotzinger, Fabian Deuser, Achref Jaziri, Heiko Neumann, Norbert Oswald, Visvanathan Ramesh, Thomas Braml

Proceedings of the Pattern Recognition - 47th DAGM German Conference, 2025

2024

Investigation of the Robust Integration of Distributed Fibre Optic Sensors in Structural Concrete Components.

Johannes Wimmer, Thomas Braml

Sensors, September, 2024

dacl1k: Real-world bridge damage dataset putting open-source data to the test.

Johannes Flotzinger, Philipp Jonas Rösch, Norbert Oswald, Thomas Braml

Eng. Appl. Artif. Intell., 2024

dacl-challenge: Semantic Segmentation during Visual Bridge Inspections.

Johannes Flotzinger, Philipp Jonas Rösch, Christian Benz, Muneer Ahmad, Murat Osswald-Cankaya, Helmut Mayer, Volker Rodehorst, Norbert Oswald, Thomas Braml

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

dacl10k: Benchmark for Semantic Bridge Damage Segmentation.

Johannes Flotzinger, Philipp Jonas Rösch, Thomas Braml

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

An Uncertainty Model for Strain Gages Using Monte Carlo Methodology.

Matthias Haslbeck, Jörg Böttcher, Thomas Braml

Sensors, November, 2023

2022

Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage Recognition.

Johannes Flotzinger, Philipp Jonas Rösch, Norbert Oswald, Thomas Braml

CoRR, 2022

Building Inspection Toolkit: Unified Evaluation And Strong Baselines For Bridge Damage Recognition.

Johannes Flotzinger, Philipp Jonas Rösch, Norbert Oswald, Thomas Braml

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022