Munich, Germany

Chethan Ningaraju

USPTO Granted Patents = 1 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Inventor Spotlight: Chethan Ningaraju

Introduction

Chethan Ningaraju is an innovative inventor based in Munich, Germany. With a focus on advancing technologies in autonomous machine applications, he has made significant contributions to the field of object detection. His inventive work aims to improve the safety and efficiency of automated systems.

Latest Patents

Ningaraju holds a patent titled "Object Detection Using Image Alignment for Autonomous Machine Applications." This patent presents a geometric approach for detecting objects on road surfaces. The patented technology captures and tracks a set of points within a region of interest across two frames. By aligning the first frame with the second and comparing pixel values, the invention generates a disparity image consisting of pixels that help to discern object locations. Subsets of these pixels are then scored and associated with disparity values, ultimately allowing the generation of a bounding shape based on the scoring.

Career Highlights

Chethan Ningaraju is currently employed at Nvidia Corporation, a renowned technology company known for its innovations in visual computing and AI. His work at Nvidia allows him to collaborate with cutting-edge technologies and contribute to advancements in machine learning and robotics. Ningaraju's commitment to innovation is evident in his successful patent application and his role within the company.

Collaborations

In his endeavors at Nvidia, Ningaraju collaborates with talented colleagues including Dong Zhang and Sangmin Oh. These partnerships foster an environment of creativity and knowledge sharing, enhancing the potential for groundbreaking solutions in the realm of autonomous systems.

Conclusion

Chethan Ningaraju exemplifies the spirit of innovation in the technology industry. His patent on object detection reflects a deep understanding of the challenges faced in autonomous machine applications. As he continues to work at Nvidia Corporation, his contributions are anticipated to shape the future of automated technologies.

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