Chao Peng

Title: Chao Peng: Innovator in Autonomous Driving and Machining Control Technologies

Introduction

Chao Peng is a prominent inventor based in Shanghai, China. He has made significant contributions to the fields of autonomous driving and numerical control machine tools. With a total of 3 patents, his work focuses on enhancing detection methods and improving machining processes.

Latest Patents

Chao Peng'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 timely and accurate target detection in 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, he 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 enhancing detection efficiency.

Another notable patent is a system and method for generating machining control data for numerical control machine tools. This system comprises a server equipped with computer-aided manufacturing software and a numerical control machine tool model library. The method facilitates the generation of machining program data and enables machining simulation, making it convenient, cost-effective, and user-friendly.

Career Highlights

Chao Peng has worked with reputable organizations, including the Shenyang Machine Tool (Group) Research & Design Institute Co., Ltd., Shanghai Branch, and NXP B.V. His experience in these companies has contributed to his expertise in developing innovative technologies.

Collaborations

Chao has collaborated with notable coworkers, including Tao Yu and Rongchang Zhu. Their combined efforts have further advanced the projects they have worked on together.

Conclusion

Chao Peng is a distinguished inventor whose work in autonomous driving and machining control technologies has made a significant impact. His innovative patents reflect his commitment to improving efficiency and accuracy in these fields.