Xiangming Wen

Beijing University of Posts and Telecommunications

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About

Xiangming Wen is a leading researcher in intelligent transportation systems, with a primary focus on vehicular localization, cooperative sensing, and channel-based simultaneous localization and mapping (SLAM). His most notable contribution is the pioneering concept of Team Channel-SLAM, which enables a fleet of neighboring vehicles to collaboratively achieve high-resolution positioning and tracking by exploiting common environmental reflectors. This breakthrough, detailed in his highly cited 2022 paper "Joint Vehicular Localization and Reflective Mapping Based on Team Channel-SLAM" (13 citations), addresses a critical challenge in autonomous driving: achieving precise localization without relying solely on GPS or expensive infrastructure. By transforming individual vehicles into a cooperative network that shares reflective mapping data, Wen’s work significantly enhances positioning accuracy and robustness in complex urban environments. His research has profound implications for the development of safer, more reliable autonomous vehicle systems, and his innovative approach to leveraging multi-vehicle cooperation continues to influence the fields of vehicular communications and intelligent transportation.