Public Group
active 2 months, 1 week ago
The team Automotive Scene Understanding (ASU) pioneers visual perception advancements for assisted and automated driving. Specializing in diverse perception tasks, the team excels in multi-modal and heterogeneous sensor fusion, enhancing system robustness. Their research spotlights compact networks leveraging domain knowledge for efficient data processing.
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A significant focus lies in data-efficient learning, aiming to optimize models with limited training data. The team is actively involved in continual learning, ensuring adaptability to evolving scenarios over time. Additionally, they explore neuromorphic computing principles, inspired by the human brain’s architecture, to enhance system efficiency and adaptability.
Members
Viewing 1 - 7 of 7 members
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Ramy Battrawy
joined 3 months, 2 weeks ago -
David Michael Fürst
joined 3 months, 2 weeks ago -
Katharina Bendig
joined 3 months, 2 weeks ago -
Rahul Jakkamsetty
joined 3 months, 2 weeks ago -
Shishir Muralidhara
joined 3 months, 2 weeks ago -
Eric Thil
joined 2 years ago -
René Schuster
joined 2 years ago
Viewing 1 - 7 of 7 members