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Maximilian Sesselmann
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2020 – today
- 2021
- [c3]Ronny Stricker, Dustin Aganian, Maximilian Sesselmann, Daniel Seichter, Marius Engelhardt, Roland Spielhofer, Matthias Hahn, Astrid Hautz, Klaus Debes, Horst-Michael Gross:
Road Surface Segmentation - Pixel-Perfect Distress and Object Detection for Road Assessment. CASE 2021: 1789-1796
2010 – 2019
- 2019
- [j2]Maximilian Sesselmann, Ronny Stricker, Markus Eisenbach:
Einsatz von Deep Learning zur automatischen Detektion und Klassifikation von Fahrbahnschäden aus mobilen LiDAR-Daten / Deep Learning for Automatic Detection and Classification ofRoad Damage from Mobile LiDAR Data. AGIT Journal Angew. Geoinformatik 5: 100-115 (2019) - [c2]Ronny Stricker, Markus Eisenbach, Maximilian Sesselmann, Klaus Debes, Horst-Michael Gross:
Improving Visual Road Condition Assessment by Extensive Experiments on the Extended GAPs Dataset. IJCNN 2019: 1-8 - 2018
- [j1]Maximilian Sesselmann:
Automatische Detektion von Substanzmerkmalen auf 3D-FahrbahnoberflächenAutomatic Pavement Distress Detection on 3D Road Surfaces. AGIT Journal Angew. Geoinformatik 4: 65-74 (2018) - 2017
- [c1]Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, Maximilian Sesselmann, Dirk Ebersbach, Ulrike Stoeckert, Horst-Michael Gross:
How to get pavement distress detection ready for deep learning? A systematic approach. IJCNN 2017: 2039-2047
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