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A team of researchers from the Chinese Academy of Sciences has developed an innovative Global Navigation Satellite System (GNSS) positioning framework that utilizes dual base stations and crowd-sourced vehicle data to create high-resolution atmospheric maps. This new method promises to significantly improve GNSS accuracy and reduce costs, making it a valuable tool for applications such as autonomous driving and Internet of Things (IoT).