Kuan Lee

Title: Kuan Lee - Innovator in Pedestrian Intent Prediction

Introduction

Kuan Lee is an accomplished inventor based in Los Altos, California. He has made significant contributions to the field of pedestrian intent prediction through his innovative patent. His work focuses on enhancing safety and efficiency in pedestrian interactions with vehicles.

Latest Patents

Kuan Lee holds a patent titled "Spatiotemporal relationship reasoning for pedestrian intent prediction." This patent describes a system and method for predicting pedestrian intent using a prediction circuit that comprises a plurality of gated recurrent units (GRUs). The circuit receives a sequence of images captured by a camera and parses each frame to identify pedestrians and objects. By generating a pedestrian-centric spatiotemporal graph, the system determines the probability of pedestrians crossing a street for each frame.

Career Highlights

Throughout his career, Kuan Lee has worked with notable organizations, including the Toyota Research Institute and Leland Stanford Junior University. His experience in these institutions has allowed him to develop and refine his innovative ideas in the realm of pedestrian safety.

Collaborations

Kuan Lee has collaborated with talented individuals such as Ehsan Adeli-Mosabbeb and Adrien David Gaidon. These collaborations have contributed to the advancement of his research and the successful development of his patent.

Conclusion

Kuan Lee's work in pedestrian intent prediction showcases his dedication to improving safety in urban environments. His innovative patent and collaborations highlight his significant contributions to the field.