Santa Clara, CA, United States of America

Preeti Jayagopi Pillai

This inventor holds 10 USPTO granted patents and 1 published patent application. Top assignees: Toyota Jidosha Kabushiki Kaisha, Other. Active years: 2015-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Preeti Jayagopi Pillai. Retrieved from https://idiyas.com/inventor/preeti-jayagopi-pillai

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 10 

% Patents Active = 50.0

Average Co-Inventor Count = 3.7

ph-index = 4

Forward Citations = 51(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2017 - 2018)
  • Sunnyvale, CA (US) (2015 - 2020)
  • Mountain View, CA (US) (2019 - 2021)

Company Filing History:


Years Active: 2015-2021

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10 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Preeti Jayagopi Pillai in Real-Time Road Object Detection and Traffic Localization

Introduction: Preeti Jayagopi Pillai is an accomplished inventor based in Santa Clara, California, recognized for her significant contributions to the fields of automotive technology and real-time imaging. With a remarkable portfolio of 10 patents, she has developed innovative methods that enhance safety and efficiency in vehicular navigation and traffic management.

Latest Patents: Among her latest patents, two stand out for their impactful advancements. The first patent focuses on "Detecting Roadway Objects in Real-Time Images." This innovative method involves a series of steps: receiving real-time images from a camera sensor, dividing these images into superpixels, merging them into superpixel regions, and generating prior maps from a dataset of road scene images. It culminates in the identification of road regions by pruning bounding boxes that surround the superpixel regions, ultimately aiming to improve vehicular awareness and safety on the road.

The second patent revolves around "Localizing Traffic Situations Using Multi-Vehicle Collaboration." This method processes situational data, clusters images from vehicles within a specific geographic region, and identifies relevant objects in the images. By matching images from different vehicles, it determines three-dimensional (3D) sensor coordinates and converts them into geolocation coordinates to ascertain a comprehensive coverage area of traffic situations. This innovative approach leverages collaboration among vehicles, enhancing overall traffic management.

Career Highlights: Preeti has had an illustrious career, contributing her expertise to renowned companies such as Toyota Jidosha Kabushiki Kaisha. Her work has been instrumental in driving forward the development of cutting-edge automotive technologies that prioritize safety and efficiency.

Collaborations: Throughout her career, Preeti has collaborated with notable colleagues, including Kentaro Oguchi and Veeraganesh Yalla. These collaborations have fostered a dynamic exchange of ideas and innovations, amplifying the impact of her work in the automotive industry.

Conclusion: Preeti Jayagopi Pillai exemplifies the spirit of innovation and determination in the field of technology. Her patented methods revolutionize how vehicles interact with their environments, promising safer roads and improved traffic management systems. As an inventor, her contributions not only advance technology but also enhance the driving experience for countless individuals.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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