6 citations · 12 across the 11 of their papers we have counts for
4 papers · 1 filter
Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning
Jonas Westheider, Julius Rückin, Marija Popović
Efficient aerial data collection is important in many remote sensing applications. In large-scale monitoring scenarios, deploying a team of unmanned aerial vehicles (UAVs) offers i…
Graph-based View Motion Planning for Fruit Detection
Tobias Zaenker, Julius Rückin, Rohit Menon +2
Crop monitoring is crucial for maximizing agricultural productivity and efficiency. However, monitoring large and complex structures such as sweet pepper plants presents significan…
NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering
Liren Jin, Xieyuanli Chen, Julius Rückin +1
Autonomous robotic tasks require actively perceiving the environment to achieve application-specific goals. In this paper, we address the problem of positioning an RGB camera to co…
An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping
Julius Rückin, Federico Magistri, Cyrill Stachniss +1
Unmanned aerial vehicles (UAVs) are frequently used for aerial mapping and general monitoring tasks. Recent progress in deep learning enabled automated semantic segmentation of ima…