Solution Study
Monday, June 16
11:35 AM - 12:05 PM
Live in Berlin
Less Details
Sleep will become a killer use case of level 4 automated cars. On the other hand, falling asleep in level 3 needs to be avoided. In a multimodal sensing approach we detect sleeping and attention in cars, applying cameras and other sensors. The multimodal sensing feeds a generated user interface architecture (Fraunhofer GenUIn). GenUIn provides custom support not to fall asleep unvolutary, fall asleep comfortable and fast when allowed, wake you up reliably and personalized and GenUIn drives different modalities in the car, like air-conditioning and display illumination and content.
In this session, you will learn more about:
David Lerch is an Artificial Intelligence Researcher with expertise in computer vision, multi-modal representation learning, and semantic situation analysis. At Fraunhofer IOSB, he contributes to the KARLI and SALSA projects, focusing on in-cabin monitoring. He previously worked at KIT and ArtiMinds Robotics on LID comparison, camera pose optimization, and deep learning. David has several years of experience in customer-facing AI projects and his research focuses on multi-modal learning and vision-language models.