Mountain View, CA, United States of America

Oluwatobi Olabiyi

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 32(Granted Patents)


Company Filing History:


Years Active: 2020-2021

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2 patents (USPTO):Explore Patents

Title: Innovations by Oluwatobi Olabiyi

Introduction

Oluwatobi Olabiyi is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of technology, particularly in the area of driver behavior prediction systems. With a total of 2 patents, his work showcases the intersection of artificial intelligence and automotive technology.

Latest Patents

Olabiyi's latest patents include an "Efficient driver action prediction system based on temporal fusion of sensor data using deep (bidirectional) recurrent neural network." This technology involves receiving stored sensor data that describes the characteristics of a vehicle in motion at a past time. It extracts features for prediction and recognition from this data, allowing for the generation of predicted and recognized labels for past driver actions.

Another notable patent is "Integrative cognition of driver behavior." This invention is capable of receiving signal data from various sensors and inputting it into a deep neural network (DNN). The DNN generates spatial representations of the signal data and makes temporal predictions based on these representations, ultimately anticipating future outcomes by recognizing temporal patterns.

Career Highlights

Olabiyi is currently employed at Toyota Jidosha Kabushiki Kaisha, where he applies his expertise in developing innovative technologies. His work focuses on enhancing the understanding of driver behavior through advanced predictive systems.

Collaborations

Olabiyi collaborates with talented individuals such as Eric Martinson and Veeraganesh Yalla, contributing to a dynamic team environment that fosters innovation.

Conclusion

Oluwatobi Olabiyi's contributions to the field of technology through his patents reflect his commitment to advancing automotive safety and efficiency. His work continues to influence the development of intelligent systems in the automotive industry.

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