11 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.GR2022★ 3 cited
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…
cs.CV2020★ 2 cited
Hausdorff Point Convolution with Geometric Priors
Pengdi Huang, Liqiang Lin, Fuyou Xue +3
Without a shape-aware response, it is hard to characterize the 3D geometry of a point cloud efficiently with a compact set of kernels. In this paper, we advocate the use of Hausdor…
cs.RO2020★ 11 cited
Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization
Pengdi Huang, Liqiang Lin, Kai Xu +1
Autonomous 3D acquisition of outdoor environments poses special challenges. Different from indoor scenes, where the room space is delineated by clear boundaries and separations (e.…