Chao Li

Title: Chao Li and Multimodal 3D Target Detection

Introduction

Chao Li is an inventor associated with Xi’an, China, and Chang’an University. His listed patent concerns 3D target detection through the fusion of point-cloud and image data.

Latest Patents

The provided information lists one patent for Chao Li: “Three-Dimensional Target Detection Method Based on Multimodal Fusion and Depth Attention Mechanism.” The method preprocesses point-cloud and image data, then feeds them into a detection network with proposal-generation and bounding-box-refinement phases. The network produces target bounding-box parameters and classification confidence. After training, it processes LiDAR point clouds and images to output 3D target information. The listed patent count is 1 patent.

Career Highlights

The supplied details identify Chang’an University as Li’s organization. His listed invention applies multimodal fusion and a depth attention mechanism to 3D target detection.

Collaborations

Yang Wang is identified as Li’s coworker. The provided information does not specify further details about their collaboration.

Conclusion

Chao Li’s listed patent describes a multimodal approach to 3D target detection that combines LiDAR point clouds and image data, with Chang’an University and coworker Yang Wang noted in the supplied information.