Kumbakonam, India

Sri Sekharan

This inventor holds 1 USPTO granted patent. Top assignee: Caterpillar Paving Products Inc.. Active years: 2023.


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Sri Sekharan in Work Machine Technology

Introduction

Sri Sekharan is an accomplished inventor based in Kumbakonam, India. He has made significant contributions to the field of work machine technology, particularly through his innovative patent that addresses challenges in object detection systems.

Latest Patents

Sri Sekharan holds a patent for a work machine equipped with a LiDAR system designed to reduce false object detection. This invention includes a frame, a power unit, a locomotive device, and a sophisticated LiDAR system. The LiDAR system features at least one laser, one sensor, a bracket, and a control unit that executes an object detection program. Notably, the system is engineered to exclude certain beams from its detection program, utilizing a combination of bracket design and software methods. The method also involves maintaining a database of excluded coordinates to filter out undesirable data samples, enhancing the accuracy of the object detection process.

Career Highlights

Sri Sekharan is currently employed at Caterpillar Paving Products Inc., where he applies his expertise in developing advanced work machine technologies. His work has been instrumental in improving the efficiency and reliability of LiDAR systems in various applications.

Collaborations

Some of his notable coworkers include Todd Alex Impola and Siddarth Desikan, who contribute to the innovative environment at Caterpillar Paving Products Inc.

Conclusion

Sri Sekharan's contributions to work machine technology, particularly through his patent on LiDAR systems, showcase his commitment to innovation and excellence in engineering. His work continues to influence advancements in the field, making significant strides in reducing false object detection.

Profile summary based on public USPTO records.
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