Beijing, China

Shixi Chen


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Shixi Chen: Innovator in Obstacle Detection Technology

Introduction

Shixi Chen is a prominent inventor based in Beijing, China. He has made significant contributions to the field of obstacle detection technology. His innovative approach has led to the development of a unique method and apparatus that enhances the accuracy of detection results.

Latest Patents

Shixi Chen holds a patent for an "Obstacle detecting method and apparatus, device and storage medium." This patent outlines a method that involves obtaining a 3D point cloud collected by an unmanned vehicle during travel. The method projects the 3D point cloud onto a two-dimensional grid to obtain feature information for each grid. The feature information is then input into a pre-trained prediction model to derive obstacle prediction parameters for each grid. Finally, grid clustering is performed based on these parameters to achieve accurate obstacle detection results. This innovative solution significantly improves the accuracy of detection outcomes.

Career Highlights

Shixi Chen is currently employed at Baidu Online Network Technology (Beijing) Co., Ltd. His work at Baidu has allowed him to focus on cutting-edge technologies that drive advancements in artificial intelligence and machine learning. His expertise in obstacle detection has positioned him as a key player in the development of autonomous systems.

Collaborations

Shixi Chen collaborates with talented individuals such as Xiaoyi Zou and Dongming Chen. Their combined efforts contribute to the innovative projects at Baidu, fostering a collaborative environment that encourages technological advancements.

Conclusion

Shixi Chen's contributions to obstacle detection technology exemplify the impact of innovative thinking in the field of artificial intelligence. His patent and work at Baidu highlight the importance of advancements in this area, paving the way for future developments in autonomous systems.

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