Zhongming Liang

Title: Innovations of Zhongming Liang in Image Recognition and Navigation Technologies

Introduction

Zhongming Liang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the fields of image recognition and navigation technologies. With a total of 2 patents, his work focuses on advanced methodologies that enhance the efficiency and accuracy of these technologies.

Latest Patents

Liang's latest patents include a method, apparatus, device, and medium for image recognition via wireless federated learning. This innovative method involves obtaining an image to be recognized and an initial image recognition model. It adjusts parameters for the initial model using a preset accelerated mobile federated learning algorithm, ultimately recognizing the image to extract corresponding text information.

Another notable patent is a visual positioning method and system based on a Gaussian process, along with a storage medium. This method collects images of the surrounding environment and moving trajectory points while traveling. It processes these images to create a Gaussian process observation model, which enhances the accuracy of predicted position points for navigation, thereby providing precise guidance for robotic motion.

Career Highlights

Zhongming Liang is affiliated with Shenzhen University, where he continues to advance research in his field. His work has garnered attention for its practical applications in real-world scenarios, particularly in robotics and artificial intelligence.

Collaborations

Liang collaborates with notable colleagues such as Jianqiang Li and Yanjie Dong, contributing to a dynamic research environment that fosters innovation and development.

Conclusion

Zhongming Liang's contributions to image recognition and navigation technologies exemplify the impact of innovative thinking in solving complex problems. His patents reflect a commitment to advancing technology for practical applications, making him a significant figure in his field.