Automatic Segmentation of Bulk Material Heaps Using Color, Texture, and Topography from Aerial Data and Deep Learning-Based Computer Vision A Ellinger, C Woerner, R Scherer Remote Sensing 15 (1), 211, 2022 | | 2022 |
VERLEIHT FLÜGEL - Anwenderfreundlichkeit als Schlüssel für den erfolgreichen Einsatz von Aerial Data im Infrastrukturbau C Wörner 2. Kolloquium Straßenbau in der Praxis 2021 (1), 551-559, 2021 | | 2021 |
LESS WRONG–Verbesserung von Straßenzustands-prognosen mittels Machine Learning A Ellinger, A Hautz, C Wörner 2. Kolloquium Straßenbau in der Praxis, 427, 2021 | | 2021 |
Combining point-cloud-to-model-comparison with image recognition to automate progress monitoring in road construction A Ellinger, RJ Scherer, C Wörner, T Walther, P Vala ECPPM 2021-eWork and eBusiness in Architecture, Engineering and Construction …, 2021 | | 2021 |
Autonomous Alignment Monitoring for Large-Scale Conveyor Systems Using UAVs, Photogrammetry, and Machine Learning A Ellinger, R Scherer, C Woerner Computing in Civil Engineering 2021, 148-155, 2021 | | 2021 |
Transforming unordered visual information from Aerial Data into machine readable BIM/GIS data - a semi-supervised approach to detect and segment road markings with partially … C Wörner https://www.linkedin.com/pulse/roadmarker-2020-christian-w%C3%B6rner/, 2020 | | 2020 |
Hydraulische Berechnungsansätze und geotechnische Bemessungsansätze für Sohlenrampen C Wörner Federal Waterways Engineering and Research Institute, 2015 | | 2015 |