Zurich, Switzerland

Marcel Nicolas Geppert


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Marcel Nicolas Geppert: Innovator in 3D Mapping Technology

Introduction

Marcel Nicolas Geppert is a notable inventor based in Zurich, Switzerland. He has made significant contributions to the field of 3D mapping technology. His innovative approach to updating 3D maps has garnered attention in the tech community.

Latest Patents

Geppert holds a patent for a method of updating a 3D map of an environment. This patent involves a 3D map that comprises sensor data items depicting the environment. Each sensor data item has associated variables, such as the pose of a capture device or the position of a landmark. A graph is calculated from these sensor data items, which includes nodes and edges. Nodes represent variables in the received sensor data items, while edges represent relationships between these variables. The graph is partitioned into multiple subgraphs to reduce the number of shared variables. Each subgraph is assigned to a respective worker node, where updated values of the variables are computed. The process ensures that shared variables between subgraphs are updated to a common value through a consensus process. Ultimately, the 3D map of the environment is updated according to these revised values.

Career Highlights

Marcel Geppert is currently employed at Microsoft Technology Licensing, LLC. His work focuses on advancing technologies that enhance the accuracy and efficiency of 3D mapping systems. His innovative contributions have positioned him as a key player in this technological domain.

Collaborations

Geppert collaborates with talented individuals such as Christoph Vogel and Jan-Willem Buurlage. Their combined expertise fosters an environment of innovation and creativity in their projects.

Conclusion

Marcel Nicolas Geppert is a pioneering inventor whose work in 3D mapping technology is shaping the future of environmental mapping. His patent reflects a sophisticated understanding of sensor data and its application in real-world scenarios.

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