Mountain View, CA, United States of America

Tong Ke


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations of Inventor Tong Ke

Introduction

Tong Ke is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of vision-aided inertial navigation and mapping. His innovative work has led to the development of advanced systems that enhance navigation accuracy.

Latest Patents

Tong Ke holds a patent for "Square root inverse Schmidt-Kalman filters for vision-aided inertial navigation and mapping." This invention involves a vision-aided inertial navigation system that utilizes an image source to produce image data for poses of reference frames along a trajectory. The system includes a motion sensor that provides motion data of the reference frames. A hardware-based processor computes estimates for the position and orientation of the reference frames for the poses. The processor executes a square-root inverse Schmidt-Kalman Filter (SR-ISF)-based estimator to compute constraints that geometrically relate the poses from which respective features were observed. The estimator determines state estimates for position and orientation of reference frames and computes positions of the features observed within the environment. Additionally, it maintains uncertainty data as a square root factor of a Hessian matrix.

Career Highlights

Tong Ke is affiliated with the University of Minnesota, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in navigation systems.

Collaborations

Tong has collaborated with esteemed colleagues, including Stergios I Roumeliotis and Kejian J Wu. Their combined expertise contributes to the advancement of technology in their field.

Conclusion

Tong Ke's innovative contributions to vision-aided inertial navigation systems demonstrate his commitment to enhancing navigation technology. His patent reflects a significant advancement in the field, showcasing the potential for improved accuracy in navigation systems.

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