姓名: | 刘丰宇 | 性别: | 男 | 出生年月: | 1998.07 | |
职称: | 讲师 | 毕业学校: | 南京理工大学 | |||
专业: | 仪器科学与技术 | 学位: | ||||
联系电话: | 电子邮件: | liufengyu@hhu.edu.cn | ||||
研究方向: | 无人系统多传感器感知与定位 | |||||
获奖情况: | ||||||
主要成果: | 代表性论文: [1] Liu F, Cao Y, Cheng X, et al. Confidence Factor Based Robust Localization Algorithm with Visual-Inertial-LiDAR Fusion in Underground Space[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025, 35(6):5952 - 5965. [2] Liu F, Cao Y, Cheng X, et al. Transformer-Based Local-to-Global LiDAR-Camera Targetless Calibration with Multiple Constraints[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-13. [3] Liu F, Cao Y, Cheng X, et al. A Visual SLAM Method Assisted by IMU and Deep Learning in Indoor Dynamic Blurred Scenes[J]. Measurement Science and Technology, 2023, 35(2): 025105. [4] Liu F, Sun X, Xiong Y, et al. Combination of iterated cubature Kalman filter and neural networks for GPS/INS during GPS outages[J]. Review of Scientific Instruments, 2019, 90(12). [5] Gu Y,Liu F, Yi X, et al. Spatial feature recognition and layout method based on improved CenterNet and LSTM frameworks[J]. ETRI Journal, 2025. [6] Liu F,Cheng X, Cao Y. An indoor dynamic SLAM method based on deep learning and feature point velocity constraint[J]. Journal of Chinese Inertial Technology, 2023, 31(5): 438-443. 代表性专利: [1]基于目标检测和特征点速度约束的动态视觉SLAM方法[P]. 江苏省: CN202211037460.2, 2023-07 -18. [2]仿生视觉多源信息智能感知无人平台[P]. 江苏省:CN202211481989.3, 2023-03-14. [3]基于Transformer的特征级视觉-激光雷达在线标定方法[P]. 江苏省:CN202410513954.6, 2024-06-21. [4]基于置信因子的无人机地下空间多模态鲁棒定位方法[P].江苏省:CN202411810800.X, 2024-12-10. [5]UNMANNED PLATFORM WITH BIONIC VISUAL MULTI-SOURCE INFORMATION AND INTELLIGENT PERCEPTION[P] U.S. Patent: US20240184309, 2024-06-06. | |||||
在研项目: | 1.参与国家自然科学基金面上项目1项; 2.参与航天科技基金项目1项; 3.参与装备预研快扶项目1项; | |||||
个人主页: |