Sunnyvale, CA, United States of America

Moritz Niendorf

This inventor holds 1 USPTO granted patent. Top assignee: Apple Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Moritz Niendorf. Retrieved from https://idiyas.com/inventor/moritz-niendorf

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Moritz Niendorf - Innovator in Vehicle Lane Change Control

Introduction

Moritz Niendorf is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of vehicle control systems, particularly in the area of lane change technology. His innovative approach aims to enhance the safety and efficiency of vehicle navigation.

Latest Patents

Moritz Niendorf holds 1 patent related to vehicle lane change control. This patent describes systems and methods for managing the transition of a vehicle from one lane to another. The implementation involves determining the kinematic state of the vehicle, detecting objects in the target lane, and calculating necessary parameters such as preparation time and acceleration. This comprehensive approach ensures a smooth and safe lane change process.

Career Highlights

Moritz Niendorf is currently employed at Apple Inc., where he continues to develop cutting-edge technologies in automotive systems. His work focuses on integrating advanced algorithms and sensor data to improve vehicle automation and safety features.

Collaborations

Moritz collaborates with Sandip Aine, contributing to the innovative projects at Apple Inc. Their teamwork enhances the development of sophisticated vehicle control systems.

Conclusion

Moritz Niendorf's contributions to vehicle lane change technology exemplify the intersection of innovation and safety in automotive engineering. His work continues to influence the future of vehicle automation.

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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