Wen Guo

Title: Innovations in Vehicle Path Planning by Inventor Wen Guo

Introduction

Wen Guo is an accomplished inventor based in Dearborn, MI (US), known for his contributions to vehicle path planning technologies. With a total of 2 patents, Guo has made significant strides in optimizing vehicle actions through advanced computational methods.

Latest Patents

Guo's latest patents focus on innovative approaches to vehicle path planning. The first patent describes a computer system that includes a processor and memory, with instructions to calibrate utility functions that determine optimal vehicle actions based on an approximate Nash equilibrium solution for multiple agents. This system assesses the difference between model-predicted future states and observed states for these agents. The instructions also enable the determination of a vehicle path based on the optimal vehicle actions derived from this analysis.

The second patent presents a modified version of a Nash equilibrium solution applied to a multiple-agent game. This solution is enhanced by an adaptive grid search optimization technique that calculates rewards and penalties for agents, which may include autonomous vehicles, non-autonomous vehicles, stationary objects, and pedestrians. The system simulates agent behavior to predict future states, ultimately determining optimal vehicle actions and facilitating the download of the vehicle path to the vehicle.

Career Highlights

Wen Guo is currently employed at Ford Global Technologies, LLC, where he applies his expertise in vehicle technology and innovation. His work has contributed to the advancement of intelligent transportation systems, enhancing safety and efficiency on the roads.

Collaborations

Guo collaborates with talented colleagues, including Qi Dai and Xunnong Xu, who contribute to the innovative environment at Ford Global Technologies. Their teamwork fosters creativity and drives the development of cutting-edge solutions in the automotive industry.

Conclusion

Wen Guo's innovative work in vehicle path planning exemplifies the potential of technology to transform transportation. His patents reflect a commitment to enhancing vehicle safety and efficiency through advanced computational techniques.