Beijing, China

Kai Ni

This inventor holds 1 USPTO granted patent. Top assignee: Baidu Online Network Technology (Beijing) Co., Ltd.. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kai Ni. Retrieved from https://idiyas.com/inventor/kai-ni-z998nnvm

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovations of Kai Ni in Autonomous Navigation

Introduction

Kai Ni is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of autonomous navigation, particularly through his innovative methods and systems. His work focuses on enhancing the capabilities of unmanned aerial vehicles (UAVs) in navigating complex environments.

Latest Patents

Kai Ni holds a patent for an "Autonomous navigation method and system, and map modeling method and system." This patent outlines a comprehensive approach to autonomous navigation, which includes controlling a UAV to take off and collecting videos of the corresponding scene at various time points. The method involves obtaining feature points from these videos, generating a flight path based on these points, and creating a first map model for autonomous navigation.

Career Highlights

Kai Ni is currently employed at Baidu Online Network Technology (Beijing) Co., Ltd. His work at Baidu has allowed him to explore and develop cutting-edge technologies in the field of autonomous systems. With a focus on practical applications, he aims to improve the efficiency and reliability of UAV operations.

Collaborations

Kai Ni has collaborated with notable colleagues, including Yanke Wang and Liang Wang. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Kai Ni's contributions to autonomous navigation technology demonstrate his commitment to advancing the field. His innovative methods and systems are paving the way for more efficient and effective UAV operations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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