Taipei, Taiwan

Shao-Chi Chen

This inventor holds 2 USPTO granted patents. Top assignee: Wistron Corporation. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shao-Chi Chen. Retrieved from https://idiyas.com/inventor/shao-chi-chen-8s3ap1fp

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 = 7.2

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Shao-Chi Chen in Trajectory Prediction

Introduction

Shao-Chi Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of trajectory prediction through his innovative methods and systems. His work focuses on enhancing the accuracy of predicting the movements of target objects.

Latest Patents

Shao-Chi Chen holds a patent for a "Trajectory predicting method and computing system for trajectory prediction." This invention provides a method that involves feature extraction on past trajectories of multiple target objects. The process generates first trajectory information, which is then pooled to create second trajectory information that includes location relationships among the target objects. Additionally, third trajectory information is derived from the past trajectories, incorporating moving direction, scene information, and moving mode. The predicted trajectories are generated using a decoder, significantly improving prediction accuracy.

Career Highlights

Shao-Chi Chen is currently employed at Wistron Corporation, where he continues to develop innovative solutions in technology. His expertise in trajectory prediction has positioned him as a valuable asset in his field.

Collaborations

Some of his coworkers include Xiu Zhi Chen and Jyun Hong He, who contribute to the collaborative efforts in their projects.

Conclusion

Shao-Chi Chen's work in trajectory prediction exemplifies the impact of innovative thinking in technology. His patent demonstrates a significant advancement in the accuracy of predicting object movements, showcasing his contributions to the field.

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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