Singapore, Singapore

Qinyuan Ren


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Qinyuan Ren: Innovator in Visual Inertial Odometry

Introduction

Qinyuan Ren is a notable inventor based in Singapore, recognized for his contributions to the field of localization technology. He has developed innovative solutions that enhance the operational capabilities of unmanned vehicles, particularly in environments where GPS signals are unavailable. His work is pivotal in advancing the integration of visual and inertial data for accurate localization.

Latest Patents

Qinyuan Ren holds a patent for a system titled "Real time robust localization via visual inertial odometry." This camera-based localization system is designed to assist unmanned vehicles in continuing their operations in GPS-denied environments. The system aims to achieve this with minimal increases in vehicular cost and payload. The patent outlines a method, a computer-readable medium, and an apparatus for localization that constructs optical flow based on feature points from video frames captured by the vehicle's camera. The apparatus refines angular and linear velocities through a quadratic optimization problem, ultimately estimating the pose of the vehicle based on these refined values.

Career Highlights

Qinyuan Ren is affiliated with the Agency for Science, Technology and Research, where he applies his expertise in localization technologies. His work has significant implications for the development of autonomous systems, enhancing their reliability and efficiency in challenging environments.

Collaborations

Qinyuan has collaborated with esteemed colleagues such as Zhengguo Li and Jinghong Zheng, contributing to advancements in their shared field of research.

Conclusion

Qinyuan Ren's innovative work in visual inertial odometry exemplifies the potential of technology to transform unmanned vehicle operations. His contributions are vital for the future of autonomous navigation systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…