Concord, MA, United States of America

Leaf Alden Jiang

USPTO Granted Patents = 14 

Average Co-Inventor Count = 2.5

ph-index = 5

Forward Citations = 56(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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14 patents (USPTO):Explore Patents

Title: Innovations of Leaf Alden Jiang

Introduction

Leaf Alden Jiang is a prominent inventor based in Concord, MA (US), known for his significant contributions to the field of stereo vision systems. With a total of 13 patents to his name, Jiang has made remarkable advancements that enhance object identification and depth mapping technologies.

Latest Patents

One of Jiang's latest patents is titled "Systems and methods for object identification with a calibrated stereo-vision system." This invention presents a long-baseline and long depth-range stereo vision system that is particularly effective in non-rigid assemblies. The system is designed to maintain accurate depth map estimates despite relative motion between cameras, eliminating the need for factory calibration and simplifying the manufacturing process. Another notable patent is "Methods and systems for providing depth maps with confidence estimates." This automated vehicle assistance system facilitates both supervised and unsupervised vehicle movement. It incorporates a control system and a first sensor system that generates disparity and confidence maps from image data, ultimately producing a video stream that includes depth and certainty maps.

Career Highlights

Jiang is currently employed at Nodar Inc., where he continues to innovate and develop cutting-edge technologies. His work has significantly impacted the fields of robotics and automated systems, showcasing his expertise in stereo vision and depth perception.

Collaborations

Throughout his career, Jiang has collaborated with talented individuals such as Piotr Swierczynski and Philip Bradley Rosen, contributing to the advancement of their shared projects and innovations.

Conclusion

Leaf Alden Jiang's contributions to stereo vision technology and automated systems highlight his role as a leading inventor in the field. His innovative patents and collaborative efforts continue to shape the future of object identification and vehicle assistance systems.

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