Assoc. Prof. Dr. Xingyu Yang | Shijiazhuang Tiedao University | China
Dr. Yang Xingyu is a distinguished researcher in Light Detection and Ranging (LiDAR), Artificial Intelligence, and Machine Vision, known for advancing high-resolution laser imaging, intelligent sensing, and non-scanning 3D radar technologies through impactful scientific and engineering contributions. His research spans optical coding, spatial–temporal multiplexing, weak-signal enhancement, beam-shaping optimization, and ultra-high-SNR 3D imaging, driving major improvements in detection accuracy, imaging quality, long-range sensing, and real-time data processing across diverse environments. He has published influential work in leading journals such as Optics and Lasers in Engineering, Applied Optics, Optics Communications, IEEE Photonics Technology Letters, and Chinese Physics B, covering innovations ranging from cluster LiDAR optimization to low-cost large-FOV infrared devices and non-line-of-sight object localization. His research outcomes integrate optical engineering with AI-driven algorithms, supporting applications in autonomous driving, robotics, intelligent transportation, UAV systems, electromagnetic environment assessment, and intelligent rail transit. He has contributed significantly to major scientific projects relating to laser radar development, road-network reliability, data-management platforms, ultra-high-voltage environment testing, and UAV cooperative planning. His portfolio also includes numerous invention patents and software copyrights, demonstrating strong translational impact from theory to practical systems. Dr. Yang has earned multiple competitive awards in provincial innovation competitions, robotics, AI design, autonomous systems, and digital-economy innovation, reflecting broad recognition of his technical leadership. He has guided student teams to national first prizes in intelligent vehicle design, AI challenges, robotics innovation, and other engineering competitions, highlighting his commitment to mentoring future innovators. His professional influence extends to academic and industrial communities through active service in artificial intelligence, ordnance technology, and UAV associations. With strong foundations in information engineering, optical sensing, and intelligent systems, Dr. Yang continues to advance cutting-edge research that strengthens the future of imaging radar, smart perception, and AI-empowered sensing technologies.
Profile: Scopus
Featured Publications
Yang, X., Hao, L., Wang, H., & Wang, Y. (n.d.). Spatial and temporal multiplexing array imaging lidar technique based on OOCDMA. Optics and Lasers in Engineering.
Yang, X., Hao, L., & Wang, Y. (n.d.). Improved imaging quality of cluster LiDAR by optimizing laser energy distribution using an effective optical approach. Optics Communications.
Yang, X., & Wang, Y. (n.d.). Low-cost, large-visual-field pyroelectric infrared linear device. Applied Optics.
Yang, X., Li, P., & Meng, X. (n.d.). Edge artifact improvement in multipixel LiDAR imaging via tailored optical beam shaping. Optics Communications.
Yang, X., Su, J., Hao, L., & Wang, Y. (n.d.). An optical OCDMA coding and 3D imaging technique for non-scanning full-waveform LiDAR system. Applied Optics.
Yang, X., Hao, L., & Wang, Y. (n.d.). Adjustable higher SNR and long-range 3D-imaging cluster LiDAR based on a coded full-waveform technique. Applied Optics.