Beijing, China

Chenghai Li

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Innovations by Chenghai Li in Traffic Information Conversion

Introduction

Chenghai Li is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of traffic information systems. His innovative approach focuses on enhancing the way traffic data is processed and presented.

Latest Patents

Chenghai Li holds a patent for a "Method and apparatus for traffic information conversion using traffic information element knowledge base." This invention describes a road network using roads, intersections, and sections as traffic information elements. It establishes a correspondence between these elements and a road topological network in a digital map. The goal is to create a universal traffic information describing model that is compatible with the language used in everyday life. The traffic information element knowledge base is generated based on the attributes of roads, intersections, and sections, as well as the relationships between them. This supports the inter-conversion between road topological network traffic information and text-based traffic information. The model allows for the fusion and conversion of traffic data from various sources, facilitating different forms of presentation and interaction for traffic information.

Career Highlights

Chenghai Li is currently employed at NEC (China) Co., Ltd. His work focuses on developing advanced traffic information systems that improve navigation and urban planning. His innovative solutions have the potential to transform how traffic data is utilized in real-time applications.

Collaborations

Chenghai Li has collaborated with notable colleagues, including Tao Wu and Weisong Hu. Their combined expertise contributes to the advancement of traffic information technologies.

Conclusion

Chenghai Li's contributions to traffic information conversion demonstrate his commitment to innovation in this critical field. His patent reflects a significant step forward in making traffic data more accessible and useful for everyday users.

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