Beijing, China

Yonggang Song

USPTO Granted Patents = 8 

 

Average Co-Inventor Count = 2.8

ph-index = 2

Forward Citations = 14(Granted Patents)


Location History:

  • Shenzhen, CN (2010 - 2023)
  • Beijing, CN (2020 - 2024)

Company Filing History:


Years Active: 2010-2024

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8 patents (USPTO):Explore Patents

Title: Yonggang Song: Innovator in Data Fusion Technologies

Introduction

Yonggang Song is a prominent inventor based in Beijing, China. He has made significant contributions to the field of data fusion, holding a total of 8 patents. His innovative work focuses on enhancing vehicle sensing technologies, which are crucial for the development of intelligent transportation systems.

Latest Patents

One of Yonggang Song's latest patents is a data fusion method and related device. This application discloses a method that includes obtaining vehicle sensing data through a vehicle sensing apparatus, which senses the road environment within a specific range using a vehicle sensor. Additionally, it involves obtaining roadside sensing data through a roadside sensing apparatus, which also senses the road environment using a roadside sensor. The fusion of these two data sets is achieved using a fusion formula, resulting in a first fusion outcome. This innovative approach allows for overlapping between the sensing ranges of both the roadside and vehicle sensing apparatuses, effectively extending the overall sensing range.

Career Highlights

Yonggang Song has worked with notable companies, including Huawei Technologies Co., Limited and Xinyang International Trading Co., Ltd. His experience in these organizations has contributed to his expertise in developing advanced sensing technologies.

Collaborations

Yonggang has collaborated with talented individuals such as Hui Li and Xiao Yang, further enhancing his innovative projects and research endeavors.

Conclusion

Yonggang Song is a distinguished inventor whose work in data fusion technologies is paving the way for advancements in intelligent transportation systems. His contributions are vital for the future of vehicle sensing and road safety.

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