薛博桓，男，副研究员。于2024年在香港科技大学计算机科学及工程学部获哲学博士学位。他的主要研究方向为智能感知、状态估计，以及软件漏洞挖掘。其智能感知与定位相关研究成果已成功应用于全球首个无磁钉全自动化集装箱码头（广州港南沙四期），并曾担任该项目的视觉定位技术负责人。 他担任IEEE旗下国际期刊及会议的审稿人，包括IEEE RAL、ICRA、IROS、TGRS、TIM和SENJ等。现任Frontiers in Aerospace Engineering的Review Editor。曾担任ECCV 2022/ICCV2021 Autonomous Vehicle Vision Workshop 的Program Committee。曾获2024年度IEEE TIM Outstanding Reviewer。

近年来主要取得的代表性科研成果如下：

[1] Xue, B., Wang, J., Wu, J., Liu, T., Liu, H., Yu, Y., ... & He, Z. (2025) Constraint-Based Hand-Eye Calibration for Large-Scale Intelligent Guided Vehicles. IEEE Transactions on Instrumentation and Measurement.

[2] Xue, B., Zhu, Y., Liu, T., Wu, J., Jiao, J., Jiang, Y., ... & He, Z. (2025). sQPEP: Global Optimal Solutions to Scaled Quadratic Pose Estimation Problems. IEEE Transactions on Instrumentation and Measurement.

[3] Xue, B., Yan, X., Wu, J., Cheng, J., Jiao, J., Jiang, H., ... & Zhang, C. (2024). Visual-marker based localization for flat-variation scene. IEEE Transactions on Instrumentation and Measurement.

[4] Yang, J., Xue, B., Feng, Y., Wang, D., Fan, R., & Chen, Q. (2024). Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation. IEEE Transactions on Automation Science and Engineering, 22, 895-904.

[5] Xue, B., Jiao, J., Zhu, Y., Zhen, L., Han, D., Liu, M., & Fan, R. (2019, December). Automatic calibration of dual-LiDARs using two poles stickered with retro-reflective tape. In 2019 IEEE International Conference on Imaging Systems and Techniques (IST) (pp. 1-6). IEEE.

[6] Feng, Y., Xue, B., Liu, M., Chen, Q., & Fan, R. (2023, May). D2nt: A high-performing depth-to-normal translator. In 2023 IEEE international conference on robotics and automation (ICRA) (pp. 12360-12366). IEEE.