Project AI-InCabin – AI methods in In-Cabin Use Cases

Basic data

Acronym:
AI-InCabin
Title:
AI methods in In-Cabin Use Cases
Duration:
01/11/2019 to 31/12/2019
Abstract / short description:
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).
Keywords:
artificial intelligence
künstliche Intelligenz
automotive
Automotive
eye tracking
Eye-Tracking

Involved staff

Managers

Department of Informatics
Faculty of Science

Local organizational units

Department of Informatics
Faculty of Science
University of Tübingen
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