Seungho Lee

Title: Innovations by Seungho Lee in Autonomous Vehicle Technology

Introduction

Seungho Lee is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of autonomous vehicle technology, holding two patents that showcase his innovative approach to behavior planning and path control.

Latest Patents

One of Seungho Lee's latest patents focuses on behavior planning for autonomous vehicles. This technology selects a preferred trajectory for an autonomous vehicle by evaluating multiple hypothetical trajectories through various components within a planning system. Each component provides an optimization score based on its priorities, allowing for a comprehensive scoring system that considers competing priorities such as comfort, minimal travel time, and fuel economy. The trajectory with the best combined score is selected for implementation, enabling an iterative approach to identify optimal paths in complex environments.

Another notable patent addresses path planning and control to account for position uncertainty in autonomous machine applications. This invention generates and analyzes candidate paths for multi-body vehicles, such as tractor-trailer trucks, while considering obstacle avoidance. The uncertainty representation accounts for variations in the trailer's rotation relative to the tractor, allowing for the generation of candidate paths that maintain a minimum stochastic distance from other actors in the environment.

Career Highlights

Seungho Lee is currently employed at Nvidia Corporation, a leading company in the field of artificial intelligence and autonomous systems. His work at Nvidia has positioned him at the forefront of innovations in autonomous vehicle technology.

Collaborations

Seungho collaborates with talented individuals such as Michael Watson and David Nister, contributing to the advancement of technology in their field.

Conclusion

Seungho Lee's innovative patents in behavior planning and path control for autonomous vehicles demonstrate his expertise and commitment to enhancing the capabilities of autonomous systems. His contributions are paving the way for safer and more efficient navigation in complex environments.