Xianjia Yu
Ph.D. Candidate & Researcher
Department of Computing xianjia.yu@utu.fi Työhuone: B6016 ORCID-tunniste: https://orcid.org/https://orcid.org/0000-0002-9042-3730 |
Robotics, Perception, Machine Learning, Computer Vision, Sensor Fusion, Federated Learning
Xianjia Yu is a doctoral candidate and researcher at the University of Turku in the Department of Computing.
2018 - 2021, a full-time senior robot developer, Deepblue Technology, Shanghai, China.
2016 - 2018, MSc degree in information and communication technology from the University of Turku, Turku, Finland.
2016 - 2018, M.Eng. in Electronics Engineering, Fudan University, Shanghai, P.R. China.
2011 - 2015, bachelor's degree at East China University of Science and Technology, Shanghai, China.
2012 - 2015, Minor in English at East China University of Science and Technology, Shanghai, China.
His research interests are robotics, perception, machine learning, computer vision, sensor fusion, federated learning.
Federated learning-based Active Perception in Multi-robot Systems
Currently involved in three-course teaching:
Hardware Accelerators for Robotics & AI
Robotics and Autonomous Systems
Perception and Navigation in Robotics
- A Benchmark for Multi-Modal LiDAR SLAM with Ground Truth in GNSS-Denied Environments (2023)
- Remote Sensing
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Benchmarking UWB-Based Infrastructure-Free Positioning and Multi-Robot Relative Localization: Dataset and Characterization (2023) 2023 IEEE Sensors Applications Symposium (SAS) Torrico Morón Paola, Salimpour Sahar, Fu Lei, Yu Xianjia, Peña Queralta Jorge, Westerlund Tomi
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization (2023)
- Frontiers in Robotics and AI
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - General-Purpose Deep Learning Detection and Segmentation Models for Images from a Lidar-Based Camera Sensor (2023)
- Sensors
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation (2023)
- Remote Sensing
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Towards Robust UAV Tracking in GNSS-Denied Environments: A Multi-LiDAR Multi-UAV Dataset (2023) 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO) Catalano Iacopo, Yu Xianjia, Peña Queralta Jorge
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments (2023) 2023 International Conference on Localization and GNSS (ICL-GNSS): Conference Proceedings Ha Sier, Yu Xianjia, Catalano Iacopo, Peña Queralta Jorge, Zou Zhuo, Westerlund Tomi
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - UAV Tracking with Solid-State Lidars: Dynamic Multi-Frequency Scan Integration (2023) 2023 21st International Conference on Advanced Robotics (ICAR) Catalano Iacopo, Sier Ha, Yu Xianjia, Westerlund Tomi, Peña Queralta Jorge
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness (2022) 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC) Zhang Jiaqiang, Keramat Farhad, Yu Xianjia, Montero Hernández Daniel, Peña Queralta Jorge, Westerlund Tomi
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Federated Learning for Vision-based Obstacle Avoidance in the Internet of Robotic Things (2022) 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC) Yu Xianjia, Peña Queralta Jorge, Westerlund Tomi
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms (2022)
- IEEE/RSJ International Conference on Intelligent Robots and Systems
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer (2022)
- Procedia Computer Science
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds (2021) 2021 20th International Conference on Advanced Robotics (ICAR) Li Qingqing, Yu Xianjia, Peña Queralta Jorge, Westerlund Tomi
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems (2021) 2021 10th Mediterranean Conference on Embedded Computing (MECO) Yu Xianjia, Li Qingqing, Peña Queralta Jorge, Heikkonen Jukka, Westerlund Tomi
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots (2021) 2021 IEEE International Conference on Autonomous Systems (ICAS) Proceedings Yu Xianjia, Li Qingqing, Peña Queralta Jorge, Heikkonen Jukka, Westerlund Tomi
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Federated Learning in Robotic and Autonomous Systems (2021)
- Procedia Computer Science
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))