Martin Bach

CTO
aurivus
Bio

Bio:
Martin Bach is a machine learning engineer and CTO of aurivus. He currently leads the deep learning team automating the scan to BIM process where he focuses on 3D object detection of complex structures and scene understanding.

Before co-founding aurivus in 2019, Martin conducted research in the field of autonomous driving at Ulm University. As group leader of machine learning, he focused on multi-object detection and tracking from various sensors like camera, radar, and LiDAR.

Presentation content:

From 3D Scans to Insights with AI

In this presentation, we delve into the transformative world of object extraction from 3D scan data. Join us as we explore the cutting-edge technology that enables rapid and accurate identification of objects in point clouds.

Discover how AI will change the information retrieval from reality capture data in the future, empowering professionals to unlock valuable insights directly from their scans. From AEC and MEP objects to industrial components we showcase real-world examples and discuss its impact on the industry. Don’t miss this opportunity to see how you can accelerate your reality capture process from laser scanning to the digital twin.

NXT BLD Talk

From 3D Scans to Insights with AI

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