This inventor holds 2 USPTO granted patents. Top assignee: University of California. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Arnav Vaibhav Malawade: Innovator in Autonomous Vehicle Technology
Introduction
Arnav Vaibhav Malawade is a prominent inventor based in Irvine, California. He has made significant contributions to the field of autonomous vehicle technology through his innovative methodologies. His work focuses on enhancing the safety and efficiency of autonomous systems.
Latest Patents
Arnav 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
Arnav is affiliated with the University of California, where he continues to advance research in autonomous vehicle applications. His work is pivotal in developing technologies that enhance the safety and reliability of autonomous systems.
Collaborations
Arnav has collaborated with notable colleagues, including Mohammad Abdullah Al Faruque and Shih-Yuan Yu. Their combined expertise contributes to the innovative research being conducted in the field of autonomous vehicles.
Conclusion
Arnav Vaibhav Malawade is a key figure in the advancement of autonomous vehicle technology, with a focus on safety and efficiency through innovative methodologies. His contributions are shaping the future of autonomous systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
