Biography
Dr. Yifu Tao is currently a post-doctoral researcher at the University of Oxford, working with Prof. Maurice Fallon. He completed both his undergraduate and PhD also at the University of Oxford. He was a visiting researcher at ETH Zürich, working with Prof. Stefan Leutenegger. His research focuses on mobile robotic perception, with a particular emphasis on 3D reconstruction and mapping on large-scale outdoor scenes combining Vision, Lidar, and Bayesian Machine Learning. He has published as first author in leading robotics journals including T-RO and IJRR. Dr. Tao has contributed to the Horizon Europe project DigiForest on forest mapping, and is an organiser of the Hilti-SLAM Challenge 2026 on Visual SLAM in construction environments. He has also appeared on the BBC to present robotics research for forestry.
Most Recent Publications
SiLVR: scalable lidar-visual radiance field reconstruction with uncertainty quantification
SiLVR: scalable lidar-visual radiance field reconstruction with uncertainty quantification
PlanarMesh: building compact 3D meshes from LiDAR using incremental adaptive resolution reconstruction
PlanarMesh: building compact 3D meshes from LiDAR using incremental adaptive resolution reconstruction
The Oxford Spires Dataset: Benchmarking large-scale LiDAR-visual localisation, reconstruction and radiance field methods
The Oxford Spires Dataset: Benchmarking large-scale LiDAR-visual localisation, reconstruction and radiance field methods
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification
The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
