| Hilti-oxford dataset: A millimeter-accurate benchmark for simultaneous localization and mapping L Zhang, M Helmberger, LFT Fu, D Wisth, M Camurri, D Scaramuzza, ... IEEE Robotics and Automation Letters 8 (1), 408-415, 2022 | 57 | 2022 |
| SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection Y Tao, Y Bhalgat, LFT Fu, M Mattamala, N Chebrolu, M Fallon arXiv preprint arXiv:2403.06877, 2024 | 8 | 2024 |
| Extrinsic calibration of camera to lidar using a differentiable checkerboard model LFT Fu, N Chebrolu, M Fallon 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 7 | 2023 |
| Batch differentiable pose refinement for in-the-wild camera/lidar extrinsic calibration LFT Fu, M Fallon Conference on Robot Learning, 1362-1377, 2023 | 5 | 2023 |
| The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods Y Tao, MÁ Muñoz-Bañón, L Zhang, J Wang, LFT Fu, M Fallon arXiv preprint arXiv:2411.10546, 2024 | | 2024 |
| The Sheldonian Theatre 3D model L Zhang, L Fu, M Fallon University of Oxford, 2022 | | 2022 |
Maurice FallonAssociate Professor, University of OxfordVerified email at robots.ox.ac.uk
