This additional information on vehicle occupants provides essential data for the anticipatory and integral activation of safety systems for highly and fully automated vehicles and contributes significantly to future safe and autonomous individual mobility. The solutions proposed in this project include the development of a robust, multi-sensorial system for interior monitoring and detection of the state, position and gestures of vehicle occupants and their risk assessment by a new risk model for integral vehicle safety. The use of cameras and radar as sensor elements will be studied in detail and a fusion with sensors from the seat (e.g. actuator) will be evaluated. Furthermore, the interpretation and categorisation of the occupant activities of the driver and passenger will help to define which future safety systems can be triggered to protect and support the vehicle occupants in case of an accident or a transition situation from e.g. driving to a secondary activity.

The main tasks of CARISSMA are:
1) Integration of know-how, development of a sound taxonomy and the generation of relevant use cases for the sensor system
2) Assessment of acceptance of an occupant monitoring system
3) Preparation of the prototype mock-up vehicle and also the integration of the optical systems
4) Preparation and execution of tests for data collection
5) Development of functions for the image processing of camera sensors
6) Integration of optical systems in test vehicles to test the correct functionality of the algorithms for the camera systems by a test person study
7) Test of the overall system robustness in continuous operation

Consortium:
Continental (Lead partner)
Technische Hochschule Ingolstadt-CARISSMA
Technische Universität Chemnitz
Silicon Radar
CMORE

Support programme: New vehicle and system technologies from BMWi

Funding reference number: 19A19009D