Jarna, Sweden

Sourab Bapu Sridhar

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sourab Bapu Sridhar. Retrieved from https://idiyas.com/inventor/sourab-bapu-sridhar

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 = 8.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Sourab Bapu Sridhar

Introduction

Sourab Bapu Sridhar is an accomplished inventor based in Jarna, SE. He has made significant contributions to the field of three-dimensional (3D) object detection. His innovative approach leverages multiple two-dimensional (2D) views to enhance the accuracy and efficiency of 3D object detection.

Latest Patents

Sourab holds 1 patent for his work titled "Three-dimensional (3D) object detection based on multiple two-dimensional (2D) views." This patent outlines techniques for performing 3D object detection by obtaining inputs associated with 2D views of a scene. The process involves selecting a set of 2D views from a plurality of views and performing 3D object detection based on these selected views.

Career Highlights

Sourab is currently employed at Qualcomm Incorporated, where he continues to push the boundaries of technology. His work at Qualcomm has allowed him to collaborate with leading experts in the field, further enhancing his innovative capabilities.

Collaborations

Some of Sourab's notable coworkers include Shizhong Steve Han and Hong Cai. Their collaboration fosters a dynamic environment for innovation and development in advanced technologies.

Conclusion

Sourab Bapu Sridhar's contributions to 3D object detection exemplify the impact of innovative thinking in technology. His work not only advances the field but also sets a foundation for future developments in object detection methodologies.

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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