Cabin monitoring information provides essential data for the anticipatory and integral activation of restraint systems in 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 interior monitoring system for detecting occupants' postures and gestures. Furthermore, a calculation of new risk assessment models for integral vehicle safety will also be performed. The adequacy of cameras and radar use will be studied in detail, and fusion with data proveniente from other sensors (e.g. seat actuator) will be conducted. Furthermore, the interpretation and categorisation of the occupant activities will help to define which future restraint systems can be triggered to protect the occupants in case of an accident or in the event of modus transition (e.g. from automated to manual).

The main tasks of C-ISAFE are:
1) Integration of know-how, development of a taxonomy and generation of relevant use cases for occupant monitoring
2) Assessment of acceptance of an occupant monitoring system
3) Development of a mock-up vehicle and integration of 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 vehicle to verify the correct functionality of the algorithms for the camera
7) Test the overall system robustness

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