Ann Arbor, MI, United States of America

Matthew T Kliemann


Average Co-Inventor Count = 1.9

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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5 patents (USPTO):Explore Patents

Title: Innovations of Matthew T. Kliemann

Introduction

Matthew T. Kliemann is an accomplished inventor based in Ann Arbor, MI. He has made significant contributions to the field of sensor technology and data fusion, holding a total of five patents. His work primarily focuses on enhancing the accuracy and efficiency of sensor measurements in various applications.

Latest Patents

Kliemann's latest patents include groundbreaking technologies such as "Multimodal sensor measurement fusion through a combined geometrical approach of time warping and occlusion surface ray projection." This patent discloses systems, methods, controllers, and techniques for addressing the parallax occlusion effect caused by non-collocated sensors. The controller is designed to fuse image data from an imaging device with depth data from a depth sensor, forming a mesh and determining occlusion boundaries. Another notable patent is "Bird's eye view based velocity estimation," which involves systems and methods for determining the velocity of an object in a three-dimensional scene using LIDAR systems and feature networks.

Career Highlights

Kliemann is currently employed at the Toyota Research Institute, Inc., where he continues to innovate and develop advanced technologies. His work at Toyota emphasizes the integration of sensor data to improve vehicle safety and performance.

Collaborations

Some of Kliemann's notable coworkers include Jonathan A. Daudelin and Kuan-Hui Lee, who collaborate with him on various projects within the research institute.

Conclusion

Matthew T. Kliemann's contributions to sensor technology and data fusion are noteworthy, and his patents reflect his innovative spirit and dedication to advancing the field. His work at Toyota Research Institute, Inc. continues to push the boundaries of what is possible in sensor measurement and analysis.

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