6 citations · 12 across the 11 of their papers we have counts for
3 papers · 1 filter
3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation
Yifu Tao, Marija Popović, Yiduo Wang +3
Safe motion planning in robotics requires planning into space which has been verified to be free of obstacles. However, obtaining such environment representations using lidars is c…
Adaptive Path Planning for UAVs for Multi-Resolution Semantic Segmentation
Felix Stache, Jonas Westheider, Federico Magistri +2
Efficient data collection methods play a major role in helping us better understand the Earth and its ecosystems. In many applications, the usage of unmanned aerial vehicles (UAVs)…
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Julius Rückin, Liren Jin, Federico Magistri +2
Semantic segmentation of aerial imagery is an important tool for mapping and earth observation. However, supervised deep learning models for segmentation rely on large amounts of h…