[1]2026cs.ROPreprint
UAV-MapFusion: RTK-Aligned Uncertainty-Aware Coarse-to-Fine Multi-Session UAV Mapping
Feng Pan, Chunran Zheng, Bing Xue & 4 others
What they foundA system merges drone maps from several flights and uses RTK positioning to curb drift.
Why it mattersLarge sites can't be mapped in one flight, so merging accurately matters.
What they studied
Scene-graph merging plus RTK alignment and coarse-to-fine optimisation.
[2]2024cs.CVPreprint
DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping
Zequan Chen, Jianping Li, Qusheng Li & 2 others
What they foundA deep-learning aerial triangulation method processes drone imagery hundreds of times faster than incremental methods.
Why it mattersFaster processing means quicker maps from big drone surveys.
What they studied
A neural network that weighs both spatial and spectral image features.
[3]2025cs.CVPeer-reviewed
A Multi-Sensor Fusion Approach for Rapid Orthoimage Generation in Large-Scale UAV Mapping
Jialei He, Zhihao Zhan, Zhituo Tu & 2 others
What they foundFusing GPS, IMU, radar and camera data speeds up orthoimage generation and works in low-texture farmland.
Why it mattersIt makes large-area mapping faster and more reliable.
What they studied
Experiments with a multi-sensor drone system.