Redondo Beach, CA, United States of America

Mayukh Sattiraju

USPTO Granted Patents = 6 

Average Co-Inventor Count = 5.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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6 patents (USPTO):Explore Patents

Title: Innovations by Mayukh Sattiraju

Introduction

Mayukh Sattiraju is an accomplished inventor based in Redondo Beach, California. He has made significant contributions to the field of vehicle path prediction technology. With a total of six patents to his name, Sattiraju is recognized for his innovative approaches to enhancing vehicle navigation systems.

Latest Patents

Sattiraju's latest patents include a "System and method in vehicle path prediction based on odometry and inertial measurement unit." This apparatus utilizes an inertial measurement unit (IMU) to detect motion characteristics of a vehicle, along with an odometry system to monitor wheel speed. The system employs processors to predict the vehicle's path by combining various parameters, weighted by longitudinal acceleration. Another notable patent is the "System and method in vehicle path prediction based on full nonlinear kinematics." This invention incorporates a camera and radar transceiver to capture images and detect nearby vehicles, respectively. It also features a controller that predicts the vehicle's path and activates braking or steering controls based on proximity to other vehicles.

Career Highlights

Sattiraju is currently employed at Canoo Technologies Inc., where he continues to develop cutting-edge technologies in the automotive sector. His work focuses on improving vehicle safety and navigation through advanced predictive systems.

Collaborations

Some of his notable coworkers include Kilsoo Kim and Jongmoo Choi, who contribute to the innovative environment at Canoo Technologies Inc.

Conclusion

Mayukh Sattiraju's contributions to vehicle path prediction technology demonstrate his commitment to innovation in the automotive industry. His patents reflect a deep understanding of both hardware and software integration, paving the way for safer and more efficient vehicle navigation systems.

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