Zhangjie Cao

Title: Innovations of Zhangjie Cao in Pedestrian Intent Prediction

Introduction

Zhangjie Cao is an accomplished inventor based in Stanford, CA. 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

Zhangjie Cao 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 prediction circuit determines the probability of pedestrians crossing a street for each frame.

Career Highlights

Throughout his career, Zhangjie 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 pedestrian safety technology.

Collaborations

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

Conclusion

Zhangjie Cao's work in pedestrian intent prediction exemplifies the intersection of technology and safety. His innovative patent and career achievements highlight his commitment to improving pedestrian interactions in urban environments.