Qi Xiong

Title: Innovations by Inventor Qi Xiong

Introduction

Qi Xiong is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of autonomous driving technology. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of target detection methods.

Latest Patents

Qi Xiong's latest patents include a target detection method, a computer device, a computer-readable storage medium, and a vehicle. This innovation addresses the challenges of detecting targets in a timely and accurate manner within the context of autonomous driving. The method involves rasterizing point cloud space of three-dimensional point clouds in a vehicle driving environment to create multiple three-dimensional point cloud grids. By determining a convolution dilation rate based on the sparsity of the target point cloud grid, the method utilizes dilated sparse convolution to extract features effectively. This approach allows for the accurate detection of both remote and close targets while reducing computational load and improving detection efficiency.

Another notable patent is a video recording method and electronic device. This method enables a first electronic device to record a first shot image in response to user operations on a preview interface. It captures audio corresponding to the first shot image and allows for subsequent zoom-in operations to record additional images and audio at varying volumes. This innovation enhances the user experience in video recording applications.

Career Highlights

Qi Xiong has worked with notable companies such as Huawei Technologies Co., Limited and Anhui Nio Autonomous Driving Technology Co., Ltd. His experience in these organizations has contributed to his expertise in autonomous driving technologies and innovative solutions.

Collaborations

Some of his coworkers include Yue Sun and Jun Li, who have collaborated with him on various projects in the field of technology and innovation.

Conclusion

Qi Xiong is a distinguished inventor whose work in autonomous driving technology has led to significant advancements in target detection methods. His innovative patents reflect his commitment to improving the efficiency and accuracy of technological solutions in this rapidly evolving field.