Di Zeng

USPTO Granted Patents = 14 (Patent Applications = 1)

Average Co-Inventor Count = 3.1

ph-index = 2

Forward Citations = 17(Granted Patents)

Company Filing History:

Years Active: 2019-2025

where 'Filed Patents' based on already Granted Patents

14 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12260574 - Image-based keypoint generation (2025-03-25),

2. 12031824 - Augmentation of global navigation satellite system based data (2024-07-09),

3. 11927449 - Using map-based constraints for determining vehicle state (2024-03-12),

4. 11867515 - Using measure of constrainedness in high definition maps for localization of vehicles (2024-01-09),

5. 11835342 - Calibration of inertial measurement units of vehicles using localization (2023-12-05),

6. 11619724 - Calibration of multiple lidars mounted on a vehicle using localization based on a high definition map (2023-04-04),

7. 11598876 - Segmenting ground points from non-ground points to assist with localization of autonomous vehicles (2023-03-07),

8. 11594014 - Annotating high definition map points with measure of usefulness for localization (2023-02-28),

9. 11391578 - Using measure of constrainedness in high definition maps for localization of vehicles (2022-07-19),

10. 11367208 - Image-based keypoint generation (2022-06-21),

11. 11340355 - Validation of global navigation satellite system location data with other sensor data (2022-05-24),

12. 10962366 - Visual odometry and pairwise alignment for high definition map creation (2021-03-30),

13. 10598489 - Visual odometry and pairwise alignment for high definition map creation (2020-03-24),

14. 10309777 - Visual odometry and pairwise alignment for high definition map creation (2019-06-04),

Title: The Innovative Mind of Di Zeng

Introduction

Di Zeng, a visionary inventor based in Sunnyvale, California, has made significant contributions to the fields of technology and innovation, holding an impressive portfolio of 14 patents. His work focuses on advancements in navigation systems and image processing.

Latest Patents

Among his latest patents is a groundbreaking method for image-based keypoint generation. This innovation involves obtaining a series of light detection and ranging (LIDAR) scans to identify corresponding poses and keyframes, ultimately generating three-dimensional keypoints that enhance image processing capabilities. Another noteworthy patent is the augmentation of global navigation satellite system (GNSS) data, which involves validating and refining location data using machine learning and additional sensor inputs. This system not only improves navigation accuracy but also aids in ongoing map updates, showcasing Di Zeng's forward-thinking approach in integrating technology with practical applications.

Career Highlights

Throughout his career, Di Zeng has been affiliated with prominent tech companies, including Nvidia Corporation and DeepMap Inc. His roles at these organizations allowed him to explore and develop cutting-edge technologies that address contemporary challenges in navigation and imaging.

Collaborations

Di has collaborated with talented individuals in the industry, including Mengxi Wu and Mark Damon Wheeler. These partnerships have fostered a creative environment that drives innovation, leading to advancements that benefit various technological sectors.

Conclusion

In summary, Di Zeng stands out as a remarkable inventor whose innovative patents impact navigation and imaging technology. His work exemplifies a blend of creativity and technical expertise, solidifying his position as a valuable contributor to the field of invention and innovation.

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1 patent pending:

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