Orlando, FL, United States of America

Arash Raftari

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: University of Central Florida Research Foundation Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Arash Raftari. Retrieved from https://idiyas.com/inventor/arash-raftari

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Arash Raftari: Innovator in Cooperative LIDAR Object Detection

Introduction

Arash Raftari is an accomplished inventor based in Orlando, Florida. He has made significant contributions to the field of autonomous vehicles through his innovative work in object detection technologies. His research focuses on enhancing situational awareness in connected and autonomous vehicles, which is crucial for driver safety.

Latest Patents

Arash Raftari holds a patent for "Cooperative LIDAR object detection via feature sharing in deep networks." This patent addresses the challenges of situational awareness in autonomous vehicles by utilizing cooperative mechanisms that improve object detection performance. The invention aims to reduce network capacity requirements while maintaining high detection accuracy, thereby enhancing the robustness and reliability of autonomous systems.

Career Highlights

Arash is affiliated with the University of Central Florida Research Foundation, Inc., where he applies his expertise in developing advanced technologies for autonomous vehicles. His work is pivotal in addressing the limitations of traditional sensor systems, such as occlusion and range restrictions.

Collaborations

Arash has collaborated with notable colleagues, including Ehsan Emad Marvasti and Yaser Pourmohammadi Fallah. Their joint efforts contribute to the advancement of research in the field of cooperative LIDAR systems.

Conclusion

Arash Raftari's innovative contributions to cooperative LIDAR object detection are paving the way for safer and more reliable autonomous vehicles. His work exemplifies the importance of collaboration and technological advancement in enhancing situational awareness in the automotive industry.

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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