Pittsburgh, PA, United States of America

Poornima Kaniarasu


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Poornima Kaniarasu: Innovator in Autonomous Driving Technology

Introduction

Poornima Kaniarasu is a prominent inventor based in Pittsburgh, PA (US). She has made significant contributions to the field of autonomous driving technology. Her innovative work focuses on enhancing the capabilities of autonomous vehicles through advanced prediction systems.

Latest Patents

Kaniarasu holds a patent titled "Goal-directed occupancy prediction for autonomous driving." This patent describes a method by which an autonomous vehicle can obtain state data associated with an object in its environment. The vehicle can also gather map data that includes information about spatial relationships between lanes of a road network. By determining a set of candidate paths that an object may follow, the vehicle can predict occupancy for each spatial cell along these paths during a specified prediction time horizon. This technology aims to improve the decision-making processes of autonomous vehicles in complex environments.

Career Highlights

Kaniarasu's career is marked by her dedication to advancing autonomous vehicle technology. She has successfully developed innovative solutions that address critical challenges in the field. Her work not only contributes to the safety and efficiency of autonomous driving but also positions her as a leader in this rapidly evolving industry.

Collaborations

Kaniarasu collaborates with talented professionals in her field, including Micol Marchetti-Bowick and Galen Clark Haynes. These partnerships enhance her research and development efforts, fostering a collaborative environment that drives innovation.

Conclusion

Poornima Kaniarasu is a trailblazer in the realm of autonomous driving technology. Her patent on goal-directed occupancy prediction showcases her commitment to improving the functionality of autonomous vehicles. Through her work, she continues to shape the future of transportation.

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