Home  | News

15.09.2025

Teaser image to Robots Seeing in the Dark - with researcher Yannick Burkhardt

Robots Seeing in the Dark - With Researcher Yannick Burkhardt

Research Film

What if robots could see in the dark and react faster than any human? Yannick Burkhardt, researcher at TUM and MCML, researches event cameras that capture motion in a revolutionary way. Unlike traditional cameras that take full pictures at fixed intervals, event cameras detect every tiny change in light—up to a million times per second—and feed this data into machine learning models.

This technology allows robots to perceive their environment in real time with incredible speed and precision, even in challenging lighting conditions. Applications include self-driving cars that can navigate busy streets more safely.

This video is part of the project KI Trans, an initiative in collaboration with TüftelLab and Uta Hauck-Thum from Ludwig-Maximilians-Universität München, focused on equipping teachers with the essential skills to navigate AI in schools. The project is funded by the Bundesministerium für Forschung, Technologie und Raumfahrt as part of DATIpilot.

 

#blog #research #cremers
Subscribe to RSS News feed

Related

Link to Cosmology: Measuring the expansion of the Universe with cosmic fireworks

24.02.2026

Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks

Daniel Gruen leads LMU’s campaign on rare SN Winny to refine the Hubble constant and address the Hubble tension in cosmology.

Read more
Link to COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

19.02.2026

COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

Presented at CVPR 2025, COSMOS shows how smarter training helps VLMs learn from details and context, improving AI understanding without larger models.

Read more
Link to Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant

05.02.2026

Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant

Daniel Rueckert and Fabian Theis receive Google.org AI funding to develop multiscale AI models for biomedical disease simulation.

Read more
Link to Needle in a Haystack: Finding Exact Moments in Long Videos

05.02.2026

Needle in a Haystack: Finding Exact Moments in Long Videos

ECCV 2024 research introduces RGNet, an AI model that finds exact moments in long videos using unified retrieval and grounding.

Read more
Link to Benjamin Busam Leads Design of Bavarian Earth Observation Satellite Network “CuBy”

04.02.2026

Benjamin Busam Leads Design of Bavarian Earth Observation Satellite Network “CuBy”

Benjamin Busam leads the scientific design of the “CuBy” satellite network, delivering AI-ready Earth observation data for Bavaria.

Read more
Back to Top