Sunnyvale, CA, United States of America

Ravi Kumar Satzoda

This inventor holds 5 USPTO granted patents and 6 published patent applications. Top assignees: Robert Bosch, Rivian IP Holdings, LLC. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ravi Kumar Satzoda. Retrieved from https://idiyas.com/inventor/ravi-kumar-satzoda-og6kiok3

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

Calculating rank
USPTO Granted Patents = 5 

% Patents Active = 100.0

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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5 patents (USPTO):Explore Patents

Title: Innovations by Ravi Kumar Satzoda

Introduction

Ravi Kumar Satzoda is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of technology, particularly in the areas of hazard detection and passenger behavior monitoring in autonomous vehicles. With a total of 5 patents, his work showcases a blend of machine learning and deep learning techniques.

Latest Patents

One of his latest patents is the "Hazard detection ensemble architecture system and method." This innovative system employs a set of ensemble methods that include various machine learning and statistical algorithms for effective hazard detection. It combines images, stereo, and contextual information using deep learning algorithms to accurately identify hazards. The system enhances image processing by incorporating a depth channel to the RGB channels, creating a four-channel RGBD image. Additionally, it overlays an RGB image with a color-map of the depth channel and concatenates regions of interest to the RGB channels. An auxiliary semantic segmentation decoder is also integrated for multi-task learning in drivable spaces.

Another notable patent is the "System and method for detecting abnormal passenger behavior in autonomous vehicles." This method monitors passengers within a vehicle cabin to determine if they are engaging in abnormal behavior. It utilizes a novel 'activity vector' to robustly represent passenger activity in each frame. A Gaussian Mixture Model distinguishes between normal and abnormal behaviors, allowing for unsupervised learning of cluster components, which significantly reduces training costs.

Career Highlights

Ravi Kumar Satzoda is currently employed at Robert Bosch, where he continues to innovate and develop cutting-edge technologies. His work has positioned him as a key player in the advancement of safety and monitoring systems in vehicles.

Collaborations

He collaborates with talented coworkers, including Yumi Kondo and Ryan Burt, contributing to a dynamic and innovative work environment.

Conclusion

Ravi Kumar Satzoda's contributions to technology through his patents reflect his commitment to enhancing safety and efficiency in autonomous vehicles. His innovative approaches to hazard detection and passenger behavior monitoring are paving the way for future advancements in the field.

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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