Semantic Risk-aware Costmaps for Robots in Industrial Applications using Deep Learning on Abstracted Safety Classes from Synthetic Data.
Thomas WeberMichael DannerBo ZhangMatthias RätschAndreas ZellPublished in: VISIGRAPP (4: VISAPP) (2022)
Keyphrases
- synthetic data
- industrial applications
- deep learning
- unsupervised learning
- data sets
- machine learning
- real world
- unsupervised feature learning
- natural language
- weakly supervised
- real image data
- viewpoint
- mental models
- deep architectures
- information extraction
- dimensionality reduction
- pattern recognition
- multiscale
- decision making
- synthetic datasets
- semantic features
- data mining
- database