How to get pavement distress detection ready for deep learning? A systematic approach. - Markus Eisenbach 001; Ronny Stricker; Daniel Seichter; Karl Amende; Klaus Debes; Maximilian Sesselmann; Dirk Ebersbach; Ulrike Stoeckert; Horst-Michael Gross (IJCNN, 2017)

Automatische Detektion von Substanzmerkmalen auf 3D-FahrbahnoberflächenAutomatic Pavement Distress Detection on 3D Road Surfaces. - Maximilian Sesselmann (AGIT Journal Angew. Geoinformatik, 2018)

Improving Visual Road Condition Assessment by Extensive Experiments on the Extended GAPs Dataset. - Ronny Stricker; Markus Eisenbach 001; Maximilian Sesselmann; Klaus Debes; Horst-Michael Gross (IJCNN, 2019)

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. - Maximilian Sesselmann; Ronny Stricker; Markus Eisenbach 001 (AGIT Journal Angew. Geoinformatik, 2019)

Road Surface Segmentation - Pixel-Perfect Distress and Object Detection for Road Assessment. - Ronny Stricker; Dustin Aganian; Maximilian Sesselmann; Daniel Seichter; Marius Engelhardt; Roland Spielhofer; Matthias Hahn; Astrid Hautz; Klaus Debes; Horst-Michael Gross (CASE, 2021)