Lydia Gauerhof

Bosch (Germany)
TRACK 7: Testing Challenges 19 de Octubre – 12:00-12:45


Structuring Validation Targets of a Machine Learning Function
Applied to Automated Driving

In complex systems, insufficient system performance (Safety of the intended functionality SOTIF) is the most pressing issue for which ISO26262 does not provide adequate answers.

A holistic system safety and validation approach thus becomes necessary to tackle the challenges of autonomous driving.

With regards to driving in traffic, uncertainties in perception (sensors, object detection) is inherent and adding machine learning based heuristics make the problem more difficult.

Therefore explainability and transparency of machine learning functions becomes necessary. Such challenges must be considered to prove the absence of unreasonable risk.


Lydia trabaja actualmente en informática confiable para la conducción autónoma en Bosch Corporate Research. Su investigación se centra en la seguridad y validación del aprendizaje automático aplicado a la conducción autónoma.