Seungji Lee

Title: Seungji Lee: Innovator in Vehicle Trajectory Technology

Introduction

Seungji Lee is an accomplished inventor based in San Carlos, CA. He has made significant contributions to the field of vehicle technology, particularly in the area of machine learning and trajectory planning. His innovative work has the potential to enhance the capabilities of autonomous vehicles.

Latest Patents

Seungji Lee holds a patent titled "Vehicle trajectory tree structure including learned trajectories." This patent describes techniques for generating a tree structure based on multiple machine-learned trajectories. The planning component, referred to as the 'ML system,' within a vehicle can receive and encode various types of sensor and vehicle data. The ML system provides the encoded data as input to multiple machine-learning models, each trained to output a unique candidate trajectory for the vehicle to follow. The system generates a tree structure that includes some or all of the candidate trajectories, allowing the vehicle to determine a control trajectory based on the generation and traversal of the tree structure using a tree search algorithm.

Career Highlights

Seungji Lee is currently employed at Zoox, Inc., where he continues to develop innovative solutions for autonomous vehicle technology. His work focuses on integrating machine learning with vehicle navigation systems, contributing to advancements in the field.

Conclusion

Seungji Lee's contributions to vehicle trajectory technology exemplify the intersection of machine learning and automotive innovation. His patent and ongoing work at Zoox, Inc. highlight his role as a key player in the evolution of autonomous vehicles.