| IONet: Learning to Cure the Curse of Drift in Inertial Odometry C Chen, X Lu, A Markham, N Trigoni The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018 | 356 | 2018 |
| mID: Tracking and Identifying People with Millimeter Wave Radar P Zhao, CX Lu, J Wang, C Chen, W Wang, N Trigoni, A Markham International Conference on Distributed Computing in Sensor Systems (DCOSS …, 2019 | 288 | 2019 |
| Deep Learning for Visual Localization and Mapping: A Survey C Chen, B Wang, CX Lu, N Trigoni, A Markham IEEE Transactions on Neural Networks and Learning Systems, 2023 | 217* | 2023 |
| Selective Sensor Fusion for Neural Visual-Inertial Odometry C Chen, S Rosa, Y Miao, CX Lu, W Wu, A Markham, N Trigoni The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 184 | 2019 |
| See through smoke: robust indoor mapping with low-cost mmwave radar CX Lu, S Rosa, P Zhao, B Wang, C Chen, JA Stankovic, N Trigoni, ... Proceedings of the 18th International Conference on Mobile Systems …, 2020 | 180 | 2020 |
| AtLoc: Attention Guided Camera Localization B Wang, C Chen, CX Lu, P Zhao, N Trigoni, A Markham The Thirty-Four AAAI Conference on Artificial Intelligence (AAAI), 2020 | 176 | 2020 |
| Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference C Chen, P Zhao, CX Lu, W Wang, A Markham, N Trigoni IEEE Internet of Things Journal, 2020 | 160 | 2020 |
| milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion CX Lu, MRU Saputra, P Zhao, Y Almalioglu, PPB De Gusmao, C Chen, ... Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 109-122, 2020 | 108 | 2020 |
| OxIOD: The dataset for deep inertial odometry C Chen, P Zhao, CX Lu, W Wang, A Markham, N Trigoni Technical Report, 2018 | 108* | 2018 |
| Deep Neural Network Based Inertial Odometry Using Low-cost Inertial Measurement Units C Chen, CX Lu, J Wahlström, A Markham, N Trigoni IEEE Transactions on Mobile Computing, 2020 | 86 | 2020 |
| Heart Rate Sensing with a Robot Mounted mmWave Radar P Zhao, CX Lu, B Wang, C Chen, L Xie, M Wang, N Trigoni, A Markham International Conference on Robotics and Automation (ICRA), 2020 | 84 | 2020 |
| DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination MRU Saputra, PPB de Gusmao, CX Lu, Y Almalioglu, S Rosa, C Chen, ... IEEE Robotics and Automation Letters, 2020 | 74 | 2020 |
| DynaNet: Neural Kalman dynamical model for motion estimation and prediction C Chen, CX Lu, B Wang, N Trigoni, A Markham IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 66 | 2021 |
| Human tracking and identification through a millimeter wave radar P Zhao, CX Lu, J Wang, C Chen, W Wang, N Trigoni, A Markham Ad Hoc Networks 116, 102475, 2021 | 63 | 2021 |
| MotionTransformer: Transferring Neural Inertial Tracking Between Domains C Chen, Y Miao, CX Lu, L Xie, P Blunsom, A Markham, N Trigoni The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019 | 60 | 2019 |
| DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network W Wang, MRU Saputra, P Zhao, P Gusmao, B Yang, C Chen, A Markham, ... The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 59 | 2019 |
| Pointloc: Deep pose regressor for lidar point cloud localization W Wang, B Wang, P Zhao, C Chen, R Clark, B Yang, A Markham, ... IEEE Sensors Journal 22 (1), 959-968, 2021 | 51 | 2021 |
| Deep Learning for Inertial Positioning: A Survey C Chen, X Pan IEEE Transactions on Intelligent Transportation Systems, 2024 | 48 | 2024 |
| P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching B Wang, C Chen, Z Cui, J Qin, CX Lu, Z Yu, P Zhao, Z Dong, F Zhu, ... 2021 International Conference on Computer Vision (ICCV-2021), 2021 | 48 | 2021 |
| Simultaneous localization and mapping with power network electromagnetic field CX Lu, Y Li, P Zhao, C Chen, L Xie, H Wen, R Tan, N Trigoni International Conference on Mobile computing and Networking (MobiCom), 607-622, 2018 | 48 | 2018 |
Andrew MarkhamDepartment of Computer Science, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证