Building Inspection Toolkit: Unified Evaluation And Strong Baselines For Bridge Damage Recognition. - Johannes Flotzinger; Philipp Jonas Rösch; Norbert Oswald; Thomas Braml (ICIP, 2022)

Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage Recognition. - Johannes Flotzinger; Philipp Jonas Rösch; Norbert Oswald; Thomas Braml (CoRR, 2022)

An Uncertainty Model for Strain Gages Using Monte Carlo Methodology. - Matthias Haslbeck; Jörg Böttcher; Thomas Braml (Sensors, 2023)

dacl10k: Benchmark for Semantic Bridge Damage Segmentation. - Johannes Flotzinger; Philipp Jonas Rösch; Thomas Braml (WACV, 2024)

dacl-challenge: Semantic Segmentation during Visual Bridge Inspections. - Johannes Flotzinger; Philipp Jonas Rösch; Christian Benz; Muneer Ahmad; Murat Osswald-Cankaya; Helmut Mayer 001; Volker Rodehorst; Norbert Oswald; Thomas Braml (WACV (Workshops), 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)

Investigation of the Robust Integration of Distributed Fibre Optic Sensors in Structural Concrete Components. - Johannes Wimmer; Thomas Braml (Sensors, 2024)

Design of a Digital Twin-Based System for Bridges. - Tagline Treichel; Aaron Zielstorff; Mohammad Ghazanfar Ali Danish; Johannes Wimmer; Stefan Küttenbaum; Thomas Braml (ICPS, 2025)

Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes. - Lukas Rauch; Thomas Braml (CoRR, 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 (CoRR, 2025)