Shengxi Jin

Title: Innovations of Shengxi Jin in Indoor Mapping Technology

Introduction

Shengxi Jin is an accomplished inventor based in Wuhan, China. He has made significant contributions to the field of robotics and indoor mapping technology. His innovative approach to constructing two-dimensional semantic maps has garnered attention in the research community.

Latest Patents

Shengxi Jin holds a patent for a method titled "Method of constructing indoor two-dimensional semantic map with wall corner as critical feature based on robot platform." This patent describes a process where a robot platform, controlled by a master control computer, moves indoors to collect data using a lidar sensor. The robot measures the distance and direction angle between itself and indoor objects in real time. The master control computer processes this information to create an environment grid map and determine the robot's real-time pose using the Gmapping algorithm. Additionally, a semantic segmentation dataset is constructed to predict non-wall corner semantic labels.

Career Highlights

Shengxi Jin is affiliated with Wuhan University, where he continues to advance his research in robotics and mapping technologies. His work has implications for various applications, including autonomous navigation and indoor environment understanding.

Collaborations

Shengxi Jin collaborates with notable colleagues such as Lin Jiang and Dongjun Fang, contributing to the advancement of their shared research interests.

Conclusion

Shengxi Jin's innovative work in indoor mapping technology exemplifies the potential of robotics in enhancing our understanding of indoor environments. His contributions are paving the way for future advancements in this field.