KI Delta Learning

Scalable AI for Automated Driving

Efficient training methods for scalable, highly automated driving

Training AI and defining deltas

In the KI Delta Learning project, leading partners from science and industry deepen the expertise around the successful use of AI. Only efficient training of AI modules on diverse domains ensures that the approach can be applied globally and that autonomy at scale turns into reality.

    Here, the focus is on transferring the knowledge already derived in known domains to new target domains and on efficiently learning the additional requirements of changed application areas, the deltas:

    • Changes and further developments in the area of sensors
    • Diverse traffic areas – from simple country roads to highly complex inner-city    traffic routing

    • National peculiarities in traffic routing

    • Temporary changes, such as daytimes and seasons

    • Long-term changes in traffic zones with new concepts of mobility and road users

    • Continuous development of AI methods, such as better training strategies and more efficient neural networks

    News

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    KI Delta Learning

    On 2 March 2021, the Federal Ministry for Economic Affairs and Energy (BMWi) and the…

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    KI Delta Learning

    The digital transformation is fundamentally changing the automotive industry. In the…

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    KI Delta Learning

    Combining the latest design and a new logo, the research project KI Delta Learning is…

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    Events

    Autonomous driving (AD) technology holds one of the most promising and most prominent…

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    The mid-term presentation of the research project KI Delta Learning will take place…

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    Intelligent Transportation Systems (ITS) is the IEEE society for automotive broadly…

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    Facts and Figures

    36 months
    Project runtime
    01/01/2020 – 31/12/2022
    €26.15 M
    Project budget
    €15.87 M
    Funding budget
    Federal Ministry of Economic Affairs and Energy (BMWi)
    Funding body
    Part of VDA Leitinitiative autonomous and connected driving
    Project initiative