Have you ever been excited to browse the other side of the world on google earth? Just to be disappointed by the poor quality of the 3d reconstructions, and the limited level of detail? 

The Graz based AI company blackshark.ai has you covered!

In todays interview, Stefan Habenschuss, leading machine learning at blackshark.ai is explaining

their massive scalable aerial image segmentation system that has been used to create a digital

twin earth with more than 1.5 Billion 3d building reconstructions with an astonishing level of detail.

References:

Stefan Habenschuss : https://www.linkedin.com/in/stefan-habenschuss-708459102/

A twin earth for the Microsoft Flight simulator : https://www.youtube.com/watch?v=ng-mGNqLe6M

Massively Scalable Aerial Image Segmentation for Virtual Sensor Simulation Environments : https://lnkd.in/dafgdvm (Available after a free registration at NVIDIA's GTC event platform)