Yuguang Li

USPTO Granted Patents = 19 (Patent Applications = 4)

CIPO Patents = 6 (Patent Applications = 2)

Average Co-Inventor Count = 3.6

ph-index = 8

Forward Citations = 188(Granted Patents)

Company Filing History:

Years Active: 2020-2025

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19 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12347033 - Automated inter-image analysis of multiple building images for building floor plan generation (2025-07-01),

2. 12333655 - Presenting building information using video and building models (2025-06-17),

3. 12260156 - Automated tools for incremental generation of building mapping information (2025-03-25),

4. 12175562 - Automated inter-image analysis of multiple building images for building information determination (2024-12-24),

5. 12045951 - Automated building information determination using inter-image analysis of multiple building images (2024-07-23),

6. 12014120 - Automated tools for generating mapping information for buildings (2024-06-18),

7. 11935196 - Presenting building information using building models (2024-03-19),

8. 11797159 - Automated tools for generating building mapping information (2023-10-24),

9. 11676344 - Presenting building information using building models (2023-06-13),

10. 11645781 - Automated determination of acquisition locations of acquired building images based on determined surrounding room data (2023-05-09),

11. 11592969 - Automated tools for generating building mapping information (2023-02-28),

12. 11514674 - Automated analysis of image contents to determine the acquisition location of the image (2022-11-29),

13. 11501492 - Automated room shape determination using visual data of multiple captured in-room images (2022-11-15),

14. 11481925 - Automated determination of image acquisition locations in building interiors using determined room shapes (2022-10-25),

15. 11243656 - Automated tools for generating mapping information for buildings (2022-02-08),

Title: Innovations by Yuguang Li in Automated Building Mapping

Introduction

Yuguang Li, an accomplished inventor based in Seattle, WA, holds an impressive portfolio of 17 patents. His work primarily focuses on the automated analysis and generation of building mapping information, which leverages advanced image processing techniques to create detailed floor plans and building information without relying on traditional depth-sensing technologies.

Latest Patents

One of Yuguang Li's notable patents is centered around "Automated tools for incremental generation of building mapping information." This innovation outlines techniques that allow computing devices to automate operations related to using images acquired within a building to generate floor plans. This process can occur without the need for depth information, enabling a more efficient and simplified mapping solution. Another significant patent involves "Automated inter-image analysis of multiple building images for building information determination." This invention enables the simultaneous analysis of images from different rooms to generate critical building information, such as floor plans, while also eliminating the reliance on distance-measuring devices.

Career Highlights

Yuguang Li has made impactful contributions while working at notable companies such as MFTB Holdco, Inc. and Zillow, Inc. His work in these organizations has led to advancements in building mapping technologies and improved navigation solutions through automated systems.

Collaborations

Throughout his career, Yuguang has collaborated with talented professionals, including Ivaylo Boyadzhiev and Will Adrian Hutchcroft. These partnerships have further enriched his research and development efforts, driving the success of his innovative projects in the field.

Conclusion

Yuguang Li's contributions to the field of automated building mapping are significant and continue to shape the future of architectural technology. His patents reflect a forward-thinking approach to harnessing image processing for practical applications, showcasing his dedication to innovation in this domain.

This text is generated by artificial intelligence and may not be accurate.