This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignees: Gm Cruise Holdings LLC, Waymo LLC. Active years: 2024-2026.
Company Filing History:
Years Active: 2024-2026
Title: Chiyu Jiang: Innovator in Trajectory Prediction and Object Detection
Introduction
Chiyu Jiang is a notable inventor based in Sunnyvale, CA, who has made significant contributions to the fields of trajectory prediction and object detection. With a total of 2 patents, Jiang's work focuses on enhancing the capabilities of autonomous systems in understanding and predicting the behavior of various agents in their environment.
Latest Patents
Jiang's latest patents include innovative methods and systems for trajectory prediction using diffusion models. This technology involves generating trajectory predictions for target agents such as vehicles, cyclists, or pedestrians by obtaining scene context data and creating an encoded representation of the environment. The diffusion model then predicts future trajectories for these agents based on the encoded data. Another significant patent addresses estimating object uncertainty using a pre-non-maximum suppression ensemble. This method enhances object detection by estimating the overall probability of detected objects and balancing confidence values based on covariances of bounding boxes.
Career Highlights
Throughout his career, Chiyu Jiang has worked with prominent companies in the autonomous vehicle industry, including GM Cruise Holdings LLC and Waymo LLC. His experience in these organizations has allowed him to develop cutting-edge technologies that improve the safety and efficiency of autonomous systems.
Collaborations
Jiang has collaborated with talented individuals in his field, including Pranay Agrawal and Yong Jae Lee. These partnerships have contributed to the advancement of his innovative projects and patents.
Conclusion
Chiyu Jiang's contributions to trajectory prediction and object detection are paving the way for advancements in autonomous technology. His patents reflect a commitment to improving the interaction between autonomous systems and their environments.

