This inventor holds 1 USPTO granted patent. Top assignee: Wing Aviation LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Michael Zhong - Innovator in Unmanned Aerial Vehicle Technology
Introduction
Michael Zhong is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of unmanned aerial vehicles (UAVs) through his innovative patent. His work focuses on enhancing the capabilities of UAVs in understanding and navigating their environments.
Latest Patents
Zhong holds a patent for a "Method for semantic localization of an unmanned aerial vehicle." This computer-implemented method involves receiving an image captured by a camera on a UAV, which depicts the environment below. A feature mask is generated using a machine learning model trained to identify and semantically label pixels representing the environment. The method retrieves reference tiles associated with specific geographic locations, allowing the UAV to determine its geographic location by correlating semantically labeled pixels.
Career Highlights
Michael Zhong is currently employed at Wing Aviation LLC, where he continues to develop cutting-edge technologies for UAVs. His expertise in machine learning and image processing has positioned him as a key player in the advancement of UAV technology.
Collaborations
Zhong collaborates with Kyle Kakligian, working together to push the boundaries of UAV capabilities and applications.
Conclusion
Michael Zhong's innovative work in UAV technology exemplifies the potential of machine learning in enhancing aerial navigation and localization. His contributions are paving the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile