Sangmin Oh

Title: Sangmin Oh: Innovator in Autonomous Systems

Introduction

Sangmin Oh, based in San Jose, CA, is a prolific inventor with a commendable portfolio of 19 patents. His contributions primarily focus on innovations in autonomous systems, enhancing the way vehicles perceive and interact with their environment.

Latest Patents

One of Sangmin Oh's latest patents is titled "Single and across sensor object tracking using feature descriptor mapping in autonomous systems and applications." This innovation involves utilizing live perception from a vehicle's sensors to create object tracking paths. By employing a deep neural network (DNN), the system is capable of generating feature descriptor maps that provide essential outputs for real-time navigation controls. Additionally, his patent on "Particle-based hazard detection for autonomous machine" outlines a detection system that integrates data from multiple sensors over time. This system estimates the likelihood of stationary hazards and employs a novel method to enhance the accuracy of hazard detection.

Career Highlights

Sangmin Oh's career is marked by his role at Nvidia Corporation, where he has contributed significantly to advancing autonomous technology. His efforts in developing algorithms and systems help pave the way for safer and more efficient navigation in autonomous machines. His expertise in sensor data utilization sets a high standard for innovation within the industry.

Collaborations

Throughout his career, Sangmin has collaborated with esteemed colleagues such as David Nister and Minwoo Park. Their teamwork has fostered an environment of creativity and innovation, enabling the development of cutting-edge technologies that enhance autonomous systems.

Conclusion

Sangmin Oh stands out as a leading inventor in the realm of autonomous technology. His patents not only showcase his ingenuity but also contribute to the ongoing evolution of navigation systems in vehicles. As his work continues to influence the industry, Sangmin remains an essential figure in the pursuit of safer and smarter autonomous systems.