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 SesselmannRonny StrickerMarkus EisenbachPublished in: AGIT Journal (2019)
Keyphrases
- deep learning
- automatic detection
- lidar data
- unsupervised learning
- machine learning
- point cloud
- urban environments
- annual conference
- supervised learning
- support vector machine
- mental models
- pattern recognition
- feature vectors
- high resolution
- feature extraction
- support vector
- feature space
- weakly supervised
- urban areas
- selected papers
- text classification
- watershed segmentation
- semi supervised
- image processing