Junior AI Research Scientist

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Junior AI Research Scientist
Build the intelligence behind safer automated driving through data-driven scenario analysis
- Eindhoven - IT - WO Master - Detachering via YER - Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek TNO
De positie
Our growing mobility demands coincide with unprecedented societal and environmental challenges. The department TNO Integrated Vehicle Safety (IVS) is part of the unit Mobility and Built Environment (MBE) in which we work on big societal challenges in the field of transport, infrastructure, and housing. At IVS we develop technology and assessment methodologies to accelerate the deployment of Connected and Cooperative Automated Mobility (CCAM) systems that contribute to 'zero calamities', 'zero emissions' and 'zero loss'. We support industrial partners and policymakers in their innovation processes for smart vehicles and complex CCAM systems that enhance our mobility and logistics.
In order to make our vehicles and mobility system safer, more sustainable and more efficient, IVS combines extensive knowledge on vehicle automation technologies with innovative safety assessment methodologies.
To make sure that automated driving is introduced on public roads in a safe and responsible way, we need to prove that automated driving functions can handle all situations it encounters on the road. To describe the possible situations that can be encountered on the road, TNO has developed the TNO StreetWise data processing pipeline , which automatically detects and classifies scenarios from real-world data from vehicles driving on public road. The TNO StreetWise pipeline uses sensor data from vehicles to detect vehicle activities, which are used to mine scenarios describing the interaction between the vehicles. The detected scenarios are parametrised and stored in a scenario database that can be used for testing automated driving functions. The TNO StreetWise p...