This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Waymo LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Cheolho Park: Innovator in Trajectory Forecasting
Introduction
Cheolho Park is a notable inventor based in Palo Alto, CA (US). He has made significant contributions to the field of trajectory forecasting, particularly through his innovative patent. His work focuses on enhancing the predictive capabilities of systems that interact with multiple agents in various environments.
Latest Patents
Cheolho Park holds a patent titled "Structured multi-agent interactive trajectory forecasting." This patent encompasses methods, systems, and apparatus for generating trajectory predictions for one or more agents. The system utilizes scene context data to characterize an environment at a specific time point, processing this data through a marginal trajectory prediction neural network. This approach allows for the generation of multiple possible trajectories for each agent, along with respective likelihood scores for these trajectories. The system further employs a graph neural network to produce a joint trajectory prediction output for multiple agents in the scene. Cheolho Park has 1 patent to his name.
Career Highlights
Cheolho Park is currently employed at Waymo LLC, a company renowned for its advancements in autonomous driving technology. His role involves leveraging his expertise in trajectory forecasting to enhance the capabilities of autonomous systems.
Collaborations
Cheolho Park collaborates with various professionals in his field, including his coworker Wenjie Luo. Their combined efforts contribute to the innovative projects at Waymo LLC.
Conclusion
Cheolho Park's work in trajectory forecasting exemplifies the intersection of technology and innovation. His contributions are paving the way for advancements in how autonomous systems predict and interact with their environments.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
