Soon O Kwon

Title: Innovations by Soon O Kwon

Introduction

Soon O Kwon is a notable inventor based in Daegu, South Korea. He has made significant contributions to the field of autonomous vehicles and sensor technology. With a total of seven patents to his name, Kwon's work focuses on enhancing delivery services and data fusion techniques.

Latest Patents

One of Kwon's latest patents is a "Delivery service system and method using autonomous vehicles." This invention provides a technical solution for delivering goods on both regular and irregular roads using autonomous vehicles. The system involves a lead vehicle that couples with at least one droid vehicle to facilitate delivery on regular roads. On irregular roads, the coupling is automatically released, allowing the droid vehicle to operate under remote control for last-mile delivery. This innovation addresses the challenges of delivering in areas where normal vehicles cannot enter.

Another significant patent is the "Device and method for data fusion between heterogeneous sensors." This invention outlines a method for fusing image data and point cloud data from calibrated camera and LiDAR sensors. By recognizing translation vectors and projecting point cloud data onto image data, Kwon's method enhances the accuracy and efficiency of data processing in various applications.

Career Highlights

Kwon has worked at prominent institutions such as the Daegu Gyeongbuk Institute of Science and Technology and the Korea Institute of Industrial Technology. His experience in these organizations has contributed to his expertise in developing innovative technologies.

Collaborations

Kwon has collaborated with notable colleagues, including Jin Hee Lee and Eui Chun Lee. Their teamwork has likely fostered a creative environment that encourages the development of groundbreaking inventions.

Conclusion

Soon O Kwon is a distinguished inventor whose work in autonomous vehicle technology and sensor data fusion is paving the way for future innovations. His contributions are significant in enhancing delivery systems and improving data processing techniques.