Toronto, Canada

Sean Segal

USPTO Granted Patents = 4 

Average Co-Inventor Count = 6.7

ph-index = 3

Forward Citations = 34(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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4 patents (USPTO):Explore Patents

Title: Sean Segal: Innovator in Autonomous Vehicle Technology

Introduction

Sean Segal is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of autonomous vehicle technology, holding a total of 4 patents. His work focuses on systems and methods that enhance the interaction between autonomous vehicles and their surrounding environment.

Latest Patents

One of Sean Segal's latest patents is titled "Systems and methods for generating motion forecast data for a plurality of actors with respect to an autonomous vehicle." This innovative computing system inputs first relative location embedding data into an interaction transformer model, producing motion forecast data for various actors relative to a vehicle. The system further utilizes a prediction model to generate respective trajectories for the actors at current and subsequent time steps. Another notable patent under his name is also focused on generating motion forecast data, where the computing system analyzes sensor data through an object detection model. This model outputs object detection data that describes the features of multiple actors in relation to the autonomous vehicle, ultimately determining their respective trajectories.

Career Highlights

Sean Segal is currently employed at UATC, LLC, where he continues to develop cutting-edge technologies in the realm of autonomous vehicles. His expertise in motion forecasting and object detection has positioned him as a key player in this rapidly evolving industry.

Collaborations

Throughout his career, Sean has collaborated with notable professionals such as Raquel Urtasun and Lingyun Li. These partnerships have further enriched his work and contributed to the advancement of autonomous vehicle technologies.

Conclusion

Sean Segal's innovative contributions to autonomous vehicle technology demonstrate his commitment to enhancing the safety and efficiency of transportation systems. His patents reflect a deep understanding of complex interactions within autonomous environments, paving the way for future advancements in the field.

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