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Maximilian Sesselmann
Publication Activity (10 Years)
Years Active: 2017-2021
Publications (10 Years): 5
Top Topics
Image Recognition
Pavement Distress
Automatic Detection
Graph Cut Segmentation
Top Venues
IJCNN
AGIT Journal Angew. Geoinformatik
CASE
AGIT Journal
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Publications
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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)
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
5 (2019)
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)
Maximilian Sesselmann
Automatische Detektion von Substanzmerkmalen auf 3D-FahrbahnoberflächenAutomatic Pavement Distress Detection on 3D Road Surfaces.
AGIT Journal Angew. Geoinformatik
4 (2018)
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)