Eindhoven, Netherlands

Nils Zerrer

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Robert Bosch. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nils Zerrer. Retrieved from https://idiyas.com/inventor/nils-zerrer

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nils Zerrer and Camera-Based Object Information

Introduction

Nils Zerrer is an inventor associated with Eindhoven, the Netherlands, and Robert Bosch. His patent work concerns using neural networks to identify potential objects in camera images and determine information about them.

Latest Patents

Zerrer is associated with 1 patent, titled “Obtaining Information About Objects in Camera Images.” The method starts with a single two-dimensional camera image of a scene, detects potential objects, and determines a projection of a three-dimensional frame surrounding at least one detected object. Neural networks assist with both object detection and frame projection.

Career Highlights

Zerrer’s listed invention addresses how systems can derive information about objects from a single camera image. This approach combines neural-network-based detection with a projected three-dimensional frame, offering a structured way to represent objects in visual data.

Collaborations

The provided information lists Matthias Kirschner and Florian Richter as Zerrer’s coworkers. His patent is associated with Robert Bosch.

Conclusion

Nils Zerrer’s patent work focuses on applying neural networks to object detection and three-dimensional frame projection from camera images.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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