2 papers
cs.RO2025
Towards autonomous photogrammetric forest inventory using a lightweight under-canopy robotic drone
Väinö Karjalainen, Niko Koivumäki, Teemu Hakala +5
Drones are increasingly used in forestry to capture high-resolution remote sensing data, supporting enhanced monitoring, assessment, and decision-making processes. While operations…
cs.CV2024
Detecting Wildfires on UAVs with Real-time Segmentation Trained by Larger Teacher Models
Julius Pesonen, Teemu Hakala, Väinö Karjalainen +6
Early detection of wildfires is essential to prevent large-scale fires resulting in extensive environmental, structural, and societal damage. Uncrewed aerial vehicles (UAVs) can co…