Chaoxian Wu

Virginia Tech, Wuhan University of Technology

Papers

Total Citations

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About

Chaoxian Wu is a researcher specializing in intelligent transportation systems, with a particular focus on adaptive cruise control, vehicle-to-vehicle communication, and autonomous driving technologies. Wu's work sits at the intersection of control theory, vehicular communication systems, and sensor fusion — areas critical to the development of safer, more efficient automated vehicles. Wu's most significant contribution is the development of robust cooperative adaptive cruise control (CACC) frameworks capable of handling real-world communication challenges. His 2019 paper, "Cooperative Adaptive Cruise Control With Adaptive Kalman Filter Subject to Temporary Communication Loss," has garnered 55 citations, demonstrating strong community recognition. This work addresses a practical vulnerability in CACC systems — temporary wireless communication failures — by integrating adaptive Kalman filtering to maintain reliable vehicle-following performance even when inter-vehicular data transmission is disrupted. Complementing this, Wu's 2018 research on integrating odometry with inter-vehicular communication tackles the equally important problem of sensor target detection loss under adverse weather conditions, offering a resilient alternative to purely sensor-dependent ACC systems. Together, these contributions reflect Wu's dedication to building fault-tolerant, communication-aware autonomous driving systems that can perform reliably in real-world environments — making his work highly relevant to both academic researchers and automotive engineers advancing vehicle automation.