Kotung Lin

Title: Kotung Lin - Innovator in Scintillation-Based Neural Networks

Introduction

Kotung Lin is a prominent inventor based in San Carlos, CA (US). He has made significant contributions to the field of radar technology through his innovative work on neural networks. His expertise lies in developing systems that enhance radar target classification, which is crucial for various applications in defense and surveillance.

Latest Patents

Kotung Lin holds a patent for a "Scintillation-based neural network for radar target classification." This patent discloses systems and methods that utilize scintillation-based neural networks to improve the accuracy of radar target classification. The method involves generating a point cloud from radio frequency (RF) scene responses received from a radar sensor. It populates a rolling buffer with frame data, including radar cross-section (RCS) values, RCS scintillation measurements, and velocity values for objects in the scanned scene. The RCS scintillation measurements and velocity values are then inputted into a convolutional neural network (CNN), which classifies the objects based on a probability density function (PDF) estimate.

Career Highlights

Kotung Lin is currently employed at Gm Cruise Holdings LLC, where he continues to work on cutting-edge technologies in the field of radar and neural networks. His innovative approach has led to advancements that enhance the capabilities of radar systems, making them more efficient and reliable.

Collaborations

One of his notable collaborators is Daniel Flores Tapia, with whom he has worked closely on various projects related to radar technology and neural networks.

Conclusion

Kotung Lin's contributions to the field of radar technology through his innovative patent demonstrate his commitment to advancing the capabilities of radar systems. His work not only enhances target classification but also paves the way for future innovations in this critical area.