5 papers · 1 filter
Vision-Reasoning-Guided Occlusion Removal from Light Fields
Mohamed Youssef, Oliver Bimber
Occlusion-robust scene recovery remains a major challenge in computational imaging, particularly where dense vegetation severely limits visibility. We propose a visionreasoning-gui…
Through-Foliage Surface-Temperature Reconstruction for Early Wildfire Detection
Mohamed Youssef, Lukas Brunner, Klaus Rundhammer +2
We present a method to reconstruct surface temperatures through forest vegetation by combining signal processing and machine learning, enabling fully automated aerial wildfire moni…
DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging
Mohamed Youssef, Jian Peng, Oliver Bimber
Access to below-canopy volumetric vegetation data is crucial for understanding ecosystem dynamics. We address the long-standing limitation of remote sensing to penetrate deep into…
An aerial color image anomaly dataset for search missions in complex forested terrain
Rakesh John Amala Arokia Nathan, Matthias Gessner, Nurullah Ãzkan +6
After a family murder in rural Germany, authorities failed to locate the suspect in a vast forest despite a massive search. To aid the search, a research aircraft captured high-res…
An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation
Rakesh John Amala Arokia Nathan, Sigrid Strand, Daniel Mehrwald +2
Swarms of drones offer an increased sensing aperture, and having them mimic behaviors of natural swarms enhances sampling by adapting the aperture to local conditions. We demonstra…