Mingwei Wang

Title: Innovations of Mingwei Wang in Vehicular Data Storage

Introduction

Mingwei Wang is a prominent inventor based in Beijing, China, known for his contributions to the field of vehicular data storage. With a total of three patents to his name, Wang has developed innovative methods and apparatuses that enhance the safety and efficiency of vehicular data management.

Latest Patents

Wang's latest patents include a "Method, apparatus and device for storing vehicular data." This invention outlines a method for analyzing the importance of received vehicular data to determine its storage level. It involves acquiring a corresponding key and encryption algorithm based on this storage level, encrypting the vehicular data, and storing it securely. This approach significantly improves the safety of vehicular data by preventing unauthorized access and enhancing storage efficiency.

Another notable patent is the "Method and apparatus for acquiring vehicular data." This invention describes a process for acquiring data from autonomous vehicles equipped with a data acquisition device. The method includes encrypting the vehicular data and securely storing it, ensuring that only authorized requests can access the information. This innovation is crucial for maintaining the integrity and confidentiality of data in autonomous vehicles.

Career Highlights

Mingwei Wang has worked with notable companies such as Baidu Online Network Technology (Beijing) Co., Ltd. and Beijing Baidu Netcom Science and Technology Co., Ltd. His experience in these organizations has contributed to his expertise in vehicular data technologies.

Collaborations

Wang has collaborated with talented individuals in his field, including Peng Yun and Shaohua Zhang. Their collective efforts have led to advancements in vehicular data management and security.

Conclusion

Mingwei Wang's innovative work in vehicular data storage and acquisition demonstrates his significant impact on the field. His patents not only enhance data security but also improve the efficiency of data management in autonomous vehicles.