Xing Xin

Title: Innovations of Inventor Xing Xin

Introduction

Xing Xin is a notable inventor based in Hunan, China. He has made significant contributions to the field of visual localization technology. His innovative approach focuses on enhancing the accuracy of localization methods through advanced image processing techniques.

Latest Patents

Xing Xin holds a patent for a "Visual localization method and apparatus based on semantic error image." This patent outlines a method that includes performing feature extraction for a target image and obtaining matching pairs through feature matching. The process involves semantic segmentation to create a two-dimensional semantic image, which aids in determining semantic information for each matching pair. The invention constructs a hypothesized pose pool and determines the optimal pose for accurate localization, even in scenes with significant changes.

Career Highlights

Xing Xin is affiliated with the National University of Defense Technology, where he applies his expertise in visual localization. His work has been instrumental in advancing the capabilities of localization technologies, making them more reliable and effective.

Collaborations

Xing Xin has collaborated with notable colleagues such as Jie Jiang and Lai Kang. Their combined efforts contribute to the ongoing research and development in the field of visual localization.

Conclusion

Xing Xin's innovative work in visual localization showcases his commitment to advancing technology in this area. His patent reflects a significant step forward in improving localization methods, which can have wide-ranging applications in various industries.