AI-InCabin

AI methods in In-Cabin Use Cases

01/11/2019 to 31/12/2019

The primary objective of this project is to explore features that provide a semantic description of the in-cabin scenery, including the occupants and their interaction to each other and vehicle instruments. This includes low-level features that can be extracted directly by image processing (e.g. passenger bounding boxes), as well as more abstract high-level features which are obtained by combining and evaluating several features using AI methods (e.g. passenger interactions).