This inventor holds 1 USPTO granted patent. Top assignee: University of California. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Pramod P Khargonekar: Innovator in Autonomous Vehicle Technology
Introduction
Pramod P Khargonekar is a notable inventor based in Irvine, California. He has made significant contributions to the field of autonomous vehicle technology. His innovative work focuses on enhancing the safety and efficiency of autonomous systems through advanced methodologies.
Latest Patents
Khargonekar holds a patent titled "Methods for spatio-temporal scene-graph embedding for autonomous vehicle applications." This invention is directed towards a spatiotemporal scene-graph embedding methodology that models scene-graphs and resolves safety-focused tasks for autonomous vehicles. The patent features a computing system that includes instructions for accepting images, extracting objects, computing inverse-perspective mapping transformations to generate bird's-eye view representations, and calculating relations between objects. Additionally, it generates a scene-graph for each image and calculates a confidence value for potential collisions through a spatio-temporal graph embedding.
Career Highlights
Khargonekar is affiliated with the University of California, where he continues to advance research in autonomous vehicle technologies. His work is pivotal in developing systems that enhance the safety and reliability of autonomous vehicles.
Collaborations
He has collaborated with notable colleagues such as Mohammad Abdullah Al Faruque and Shih-Yuan Yu, contributing to the advancement of technology in his field.
Conclusion
Pramod P Khargonekar's innovative contributions to autonomous vehicle technology exemplify the importance of research and development in enhancing safety and efficiency in modern transportation systems. His work continues to influence the future of autonomous driving.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
