Bolin Gao

Title: Bolin Gao and Multimodal 3D Target Detection

Introduction

Bolin Gao is an inventor associated with Xi’an, China, and Chang’an University. His patent work focuses on combining lidar point-cloud data and image data to detect three-dimensional targets.

Latest Patents

Gao is associated with 1 patent: “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 3D detection network with proposal-generation and bounding-box-refinement phases. The network produces target bounding-box parameters and classification confidence. After training, it processes collected lidar and image data to output 3D target information.

Career Highlights

Gao’s disclosed invention addresses multimodal 3D target detection by integrating point-cloud and image inputs with a depth attention mechanism. The patent describes a workflow that includes data preparation, network training, and detection using the trained model.

Collaborations

The provided information identifies Chang’an University as Gao’s company or institutional affiliation and names Yang Wang as a coworker. No further details about their roles or collaboration are provided.

Conclusion

Bolin Gao’s patent presents a multimodal approach to 3D target detection, combining lidar point clouds, image data, and depth attention within a trained detection network.