Xianjia Yu

Federated learning enhanced multi-modal sensing and perception in a collaborative multi-robot system (2024)

Yu, Xianjia

(G5 Artikkeliväitöskirja)

Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization (2023)

Frontiers in Robotics and AI

Salimpour Sahar, Torrico Morón Paola, Yu Xianjia, Westerlund Tomi, Peña-Queralta Jorge

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Benchmarking UWB-Based Infrastructure-Free Positioning and Multi-Robot Relative Localization: Dataset and Characterization (2023)

IEEE Sensors Applications Symposium (SAS)

Torrico Morón Paola, Salimpour Sahar, Fu Lei, Yu Xianjia, Peña Queralta Jorge, Westerlund Tomi

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments (2023)

International Conference on Localization and GNSS (ICL-GNSS), International Conference on Localization and GNSS

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)

International Conference on Advanced Robotics

Catalano Iacopo, Sier Ha, Yu Xianjia, Westerlund Tomi, Peña Queralta Jorge

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation (2023)

Remote Sensing

Zhang Haizhou, Yu Xianjia, Ha Sier, Westerlund Tomi

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A Benchmark for Multi-Modal LiDAR SLAM with Ground Truth in GNSS-Denied Environments (2023)

Remote Sensing

Sier Ha, Li Qingqing, Yu Xianjia, Peña Queralta Jorge, Zou Zhuo, Westerlund Tomi

(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

Yu Xianjia, Salimpour Sahar, Peña Queralta Jorge, Westerlund Tomi

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Towards Robust UAV Tracking in GNSS-Denied Environments: A Multi-LiDAR Multi-UAV Dataset (2023)

IEEE International Conference on Robotics and Biomimetics

Catalano Iacopo, Yu Xianjia, Peña Queralta Jorge

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Federated Learning for Vision-based Obstacle Avoidance in the Internet of Robotic Things (2022)

International Conference on Fog and Mobile Edge Computing

Yu Xianjia, Peña Queralta Jorge, Westerlund Tomi

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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Federated learning enhanced multi-modal sensing and perception in a collaborative multi-robot system (2024)

Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization (2023)

Benchmarking UWB-Based Infrastructure-Free Positioning and Multi-Robot Relative Localization: Dataset and Characterization (2023)

UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments (2023)

UAV Tracking with Solid-State Lidars: Dynamic Multi-Frequency Scan Integration (2023)

LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation (2023)

A Benchmark for Multi-Modal LiDAR SLAM with Ground Truth in GNSS-Denied Environments (2023)

General-Purpose Deep Learning Detection and Segmentation Models for Images from a Lidar-Based Camera Sensor (2023)

Towards Robust UAV Tracking in GNSS-Denied Environments: A Multi-LiDAR Multi-UAV Dataset (2023)

Federated Learning for Vision-based Obstacle Avoidance in the Internet of Robotic Things (2022)