34 citations · 43 across the 6 of their papers we have counts for
6 papers
Aerial Path Planning for Urban Geometry and Texture Co-Capture
Weidan Xiong, Bochuan Zeng, Ziyu Hu +3
Recent advances in image acquisition and scene reconstruction have enabled the generation of high-quality structural urban scene geometry, given sufficient site information. Howeve…
Aerial Path Online Planning for Urban Scene Updation
Mingfeng Tang, Ningna Wang, Ziyuan Xie +4
We present the first scene-update aerial path planning algorithm specifically designed for detecting and updating change areas in urban environments. While existing methods for lar…
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation
Guoqing Yang, Fuyou Xue, Qi Zhang +3
We present the UrbanBIS benchmark for large-scale 3D urban understanding, supporting practical urban-level semantic and building-level instance segmentation. UrbanBIS comprises six…
Learning Reconstructability for Drone Aerial Path Planning
Yilin Liu, Liqiang Lin, Yue Hu +4
We introduce the first learning-based reconstructability predictor to improve view and path planning for large-scale 3D urban scene acquisition using unmanned drones. In contrast t…
Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset
Liqiang Lin, Yilin Liu, Yue Hu +3
We present UrbanScene3D, a large-scale data platform for research of urban scene perception and reconstruction. UrbanScene3D contains over 128k high-resolution images covering 16 s…
VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping
Yilin Liu, Ke Xie, Hui Huang
The drone navigation requires the comprehensive understanding of both visual and geometric information in the 3D world. In this paper, we present a Visual-Geometric Fusion Network(…