Province, China

Liangcheng Fu

This inventor holds 1 USPTO granted patent. Top assignee: Robert Bosch. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Liangcheng Fu. Retrieved from https://idiyas.com/inventor/liangcheng-fu

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 = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Liangcheng Fu in Object Tracking Technology

Introduction

Liangcheng Fu is a notable inventor based in Province, China. He has made significant contributions to the field of object tracking technology. His innovative approach has led to the development of a unique method for tracking multiple target objects.

Latest Patents

Liangcheng Fu holds 1 patent for his invention titled "Method for tracking multiple target objects, device, and computer program for implementing the tracking of multiple target objects for the case of moving objects." This method involves projecting moving objects onto a grid map with grid cells. The process includes computing the velocity distribution for the next time step, calculating transitional probability information, and determining occupancy probabilities for each grid cell.

Career Highlights

Liangcheng Fu is currently employed at Robert Bosch, where he continues to innovate in the field of technology. His work focuses on enhancing the efficiency and accuracy of tracking systems.

Collaborations

Liangcheng has collaborated with talented coworkers such as Markus Spies and Johannes Maximilian Doellinger. Their combined expertise contributes to the advancement of their projects.

Conclusion

Liangcheng Fu's contributions to object tracking technology exemplify the impact of innovative thinking in solving complex problems. His work continues to influence advancements in this critical area of technology.

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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