This repo contains the following supplementary material:
- augment_tool: A python tool that automates the augmentation process in Stage 2 of DeepDECS.
- case_studies: Code, DNN models, datasets, and simulator setups used to investigate the two case studies; mobile robot collision limitation, and driver attentiveness management
- tutorial: There is a tutorial on how to use the DeepDECS process
You can contact Calum Imrie (calum.imrie@york.ac.uk) with any queries.