Maximilian Sesselmann

According to our database, Maximilian Sesselmann authored at least 5 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2021

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

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

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

AGIT Journal Angew. Geoinformatik, 2019

Improving Visual Road Condition Assessment by Extensive Experiments on the Extended GAPs Dataset.

Ronny Stricker, Markus Eisenbach, Maximilian Sesselmann, Klaus Debes, Horst-Michael Gross

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Automatische Detektion von Substanzmerkmalen auf 3D-FahrbahnoberflächenAutomatic Pavement Distress Detection on 3D Road Surfaces.

Maximilian Sesselmann

AGIT Journal Angew. Geoinformatik, 2018

2017

How to get pavement distress detection ready for deep learning? A systematic approach.

Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, Maximilian Sesselmann, Dirk Ebersbach, Ulrike Stoeckert, Horst-Michael Gross

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017