Company Filing History:
Years Active: 2017-2025
Title: Innovations of Kejian J Wu in Vision-Aided Inertial Navigation Systems
Introduction
Kejian J Wu is a prominent inventor based in Minneapolis, MN (US), known for his contributions to the field of vision-aided inertial navigation systems. With a total of 8 patents, Wu has made significant advancements that enhance the accuracy and reliability of navigation technologies.
Latest Patents
One of his latest patents is the "Vision-aided inertial navigation system for ground vehicle localization." This innovative system integrates an image source to produce image data along a trajectory, along with an inertial measurement unit (IMU) that generates data indicative of the system's motion. The processor within the system computes state estimates for the position and orientation of the system based on the combined data from the image source, IMU, and odometry unit. This approach allows for precise localization of ground vehicles.
Another notable patent is the "Square-root multi-state constraint Kalman filter for vision-aided inertial navigation system." This patent describes a system that employs a square-root multi-state constraint Kalman filter (SR-MSCKF) for navigation. The processor receives image and motion data for multiple poses along a trajectory and executes an Extended Kalman Filter (EKF)-based estimator to compute estimates for position and orientation. The system also computes constraints that relate multiple poses of observed features, enhancing the overall navigation accuracy.
Career Highlights
Kejian J Wu is affiliated with the University of Minnesota, where he continues to push the boundaries of research in navigation systems. His work has garnered attention for its practical applications in various fields, including robotics and autonomous vehicles.
Collaborations
Wu collaborates with esteemed colleagues such as Stergios I Roumeliotis and Chao X Guo, contributing to a dynamic research environment that fosters innovation and development in navigation technologies.
Conclusion
Kejian J Wu's contributions to vision-aided inertial navigation systems exemplify the impact of innovative thinking in technology. His patents reflect a commitment to enhancing navigation accuracy, which is crucial for the advancement of autonomous systems.