The SMILE program develops method(s) that allow DML-based functions to be included into safety critical vehicular applications. The SMILE III project further develops the Safety Cage concept developed within SMILE I/II, into a reference system architecture and prototype(s), while facilitating compliance with the evolving safety standards.
Future autonomous vehicles will rely on Deep machine learning algorithms (DML), whose correct behaviour cannot be guaranteed by traditional software engineering approaches. This uncertainty is a big obstacle to ensure the quality of systems using DML, especially in automotive safety critical applications.
The SMILE program addresses this challenge via developing method(s) that allow DML-based functions to be included into safety critical vehicular applications with quality control requirements from industrial standards.
SMILE program consists of several consecutive research projects:
With the success and promising results from SMILE I/II, SMILE III project will further develop the safety cage concept into a reference system architecture and prototype(s), together with data management approaches, facilitating compliance with the evolving safety standards (including the insufficient prescriptive ISO/PAS 21448 edition).
Coordinator, WP leader