Mountain View, CA, United States of America

Hongge Chen

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Gm Cruise Holdings LLC. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Hongge Chen in Autonomous Vehicle Technology

Introduction

Hongge Chen is an accomplished inventor based in Mountain View, CA (US). He has made significant contributions to the field of autonomous vehicle technology, particularly in the generation of synthetic point cloud data. His work is crucial for enhancing the capabilities of object detection systems used in autonomous vehicles.

Latest Patents

Hongge Chen holds a patent for a "Pipeline for generating synthetic point cloud data." This innovative technology provides solutions for generating synthetic three-dimensional (3D) objects that are essential for testing autonomous vehicle (AV) object detectors, such as AV Light Detection and Ranging (LiDAR) detectors. The patented process involves receiving a first set of object shape data, permuting it to create a second set, and utilizing a differentiable pipeline to generate an output scene. This output scene contains an optimized object based on the second set of object shape data. The process also includes determining if the optimized object can be identified in the output scene using a detector.

Career Highlights

Hongge Chen is currently employed at GM Cruise Holdings LLC, where he continues to push the boundaries of technology in the autonomous vehicle sector. His innovative approach and technical expertise have positioned him as a key player in the development of advanced object detection systems.

Collaborations

Hongge collaborates with talented individuals such as Zhao Chen and Yuning Chai, contributing to a dynamic team focused on advancing autonomous vehicle technologies.

Conclusion

Hongge Chen's work in generating synthetic point cloud data represents a significant advancement in the field of autonomous vehicles. His innovative solutions are paving the way for more effective testing and development of object detection systems.

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