Sunnyvale, CA, United States of America

Chang Gao

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Chang Gao: Innovator in Autonomous Vehicle Technology

Introduction

Chang Gao is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the field of autonomous vehicle technology. His innovative work focuses on enhancing the accuracy and reliability of radar detection systems in self-driving cars.

Latest Patents

Chang Gao holds a patent for the "Identification of spurious radar detections in autonomous vehicle applications." This patent describes methods and systems that enable fast and accurate verification of radar detections of objects in autonomous vehicle applications. The implementation involves obtaining radar data that characterizes the intensity of radar reflections from the environment of the autonomous vehicle. It also includes identifying a candidate object based on the radar data, obtaining a camera image of the region where the candidate object is located, and processing both the radar data and camera image using machine-learning models. This process results in a classification measure that indicates the likelihood of the candidate object being real.

Career Highlights

Chang Gao is currently employed at Waymo LLC, a leader in autonomous vehicle technology. His work at Waymo has positioned him at the forefront of innovation in the industry. He has successfully contributed to the development of advanced systems that improve the safety and efficiency of autonomous vehicles.

Collaborations

Chang collaborates with talented individuals such as Xu Chen and Nichola Abdo. Their combined expertise fosters an environment of innovation and creativity, driving advancements in autonomous vehicle technology.

Conclusion

Chang Gao's contributions to the field of autonomous vehicles exemplify the impact of innovative thinking in technology. His patent and work at Waymo LLC highlight the importance of accurate radar detection systems in enhancing the safety and functionality of self-driving cars.

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