Redmond, WA, United States of America

Ollin Boer Bohan

USPTO Granted Patents = 3 

Average Co-Inventor Count = 7.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):

Title: The Innovations of Ollin Boer Bohan

Introduction

Ollin Boer Bohan is an accomplished inventor based in Redmond, WA (US). He has made significant contributions to the field of autonomous machine systems, holding a total of 3 patents. His work focuses on enhancing object detection and trajectory prediction using advanced machine learning techniques.

Latest Patents

Bohan's latest patents include "Dynamic object detection using LiDAR data for autonomous machine systems and applications." This patent describes systems and methods that detect and track objects in an environment using projection images generated from LiDAR. A machine learning model, such as a deep neural network (DNN), computes a motion mask indicative of motion corresponding to points representing objects in the environment. Additionally, he holds a patent titled "Future trajectory predictions in multi-actor environments for autonomous machines." This invention applies past location information and map data to a DNN, trained to predict future trajectories of actors in an environment, aiding ego-vehicles in navigation.

Career Highlights

Ollin Boer Bohan is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His work at Nvidia focuses on developing innovative solutions for autonomous systems, leveraging his expertise in machine learning and computer vision.

Collaborations

Bohan collaborates with notable colleagues, including Nikolai Smolyanskiy and David Nister, who contribute to the advancement of technology in the field of autonomous systems.

Conclusion

Ollin Boer Bohan's contributions to the field of autonomous machine systems through his innovative patents and collaborations highlight his role as a leading inventor in this rapidly evolving industry. His work continues to pave the way for advancements in technology that enhance safety and efficiency in autonomous navigation.

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