Marina Del Rey, CA, United States of America

Benjamin Sapp

USPTO Granted Patents = 11 

 

Average Co-Inventor Count = 5.8

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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11 patents (USPTO):Explore Patents

Title: The Innovative Mind of Benjamin Sapp

Introduction

Benjamin Sapp is a prominent inventor based in Marina Del Rey, CA (US). He has made significant contributions to the field of technology, particularly in the area of predictive modeling and neural networks. With a total of 11 patents to his name, Sapp continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Robust behavior prediction neural networks through non-causal agent based augmentation." This invention focuses on methods, systems, and apparatus for predicting future trajectories of agents in an environment. The system comprises one or more computers configured to receive a data set that includes multiple training examples. These training examples consist of scene data with respective agent data for multiple agents and a ground truth trajectory for a target agent. The invention identifies non-causal agents, whose states do not influence the target agent's trajectory, and generates modified training examples accordingly. Another notable patent is "Agent trajectory prediction using context-sensitive fusion," which involves methods and systems for agent trajectory prediction utilizing context-sensitive fusion techniques.

Career Highlights

Benjamin Sapp is currently employed at Waymo LLC, a leader in autonomous vehicle technology. His work at Waymo has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in self-driving technology.

Collaborations

Sapp has collaborated with notable colleagues such as Dragomir Dimitrov Anguelov and Yuning Chai, further enhancing the innovative environment at Waymo.

Conclusion

Benjamin Sapp's contributions to technology through his patents and work at Waymo exemplify the spirit of innovation. His focus on predictive modeling and neural networks continues to shape the future of autonomous systems.

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