Stephan Lenor

This inventor holds 8 USPTO granted patents and 3 published patent applications. Top assignees: Robert Bosch, Robert Bosch Gmbh. Active years: 2016-2026.

USPTO Granted Patents = 8 (Patent Applications = 3)

% Patents Active = 100.0

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 3(Granted Patents)

Location History:

Stuttgart, DE (2016 - 2019)
Gerlingen, DE (2021)

Company Filing History:

Years Active: 2016-2026

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8 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12715396 - Device for minimizing soiling of a vehicle environmental sensor (2026-08-25),

2. 12639798 - Method for detecting imaging degradation of an imaging sensor (2026-05-26),

3. 12493104 - Method for determining a sensor degradation status (2025-12-09),

4. 12388947 - Method of transmissivity-aware chroma keying (2025-08-12),

5. 11087470 - Image analysis including targeted preprocessing (2021-08-10),

6. 10366505 - Method and control device for processing at least one image representing a halation, and image recording system (2019-07-30),

7. 9727792 - Method and device for tracking-based visibility range estimation (2017-08-08),

8. 9506859 - Method and device for determining a visual range in daytime fog (2016-11-29),

Title: The Innovative Contributions of Stephan Lenor

Introduction

Stephan Lenor is a notable inventor based in Stuttgart, Germany. He has made significant contributions to the field of technology, particularly in image processing and chroma keying. With a total of five patents to his name, Lenor continues to push the boundaries of innovation.

Latest Patents

Among his latest patents is a method of transmissivity-aware chroma keying. This method involves obtaining a first shot of at least one object in front of a first background and a second shot in front of a different background. The process includes extracting the object using both shots to enhance image quality. Another significant patent is a system for image analysis that includes a K1 preprocessing module. This system generates intermediate images from input images and detects features or objects within those images. The training method for this system involves feeding a variety of learning input images and adapting parameters to improve accuracy.

Career Highlights

Stephan Lenor is currently employed at Robert Bosch GmbH, a leading global supplier of technology and services. His work at Bosch has allowed him to develop innovative solutions that have practical applications in various industries. His expertise in image processing has positioned him as a key player in his field.

Collaborations

Lenor has collaborated with several talented individuals, including Ulrich Stopper and Stefan Weber. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Stephan Lenor's contributions to the field of technology through his patents and collaborations highlight his innovative spirit. His work continues to influence advancements in image processing and chroma keying, making him a significant figure in the industry.