Publications by authors named "CURIONI G"
Article Synopsis
- BIFoR started a project in 2017 to study the effects of elevated carbon dioxide levels on a mature broadleaf forest in the UK using large lattice tower arrays.
- The project aimed to increase CO2 levels by +150 µmol/mol, successfully maintaining this target almost 98% of the time during its first growing season.
- Findings indicate that the experimental setup was effective and can inform future studies on forest responses to climate change, particularly in complex ecosystems.
We address the problem of accurately locating buried utility segments by fusing data from multiple sensors using a novel Marching-Cross-Section (MCS) algorithm. Five types of sensors are used in this work: Ground Penetrating Radar (GPR), Passive Magnetic Fields (PMF), Magnetic Gradiometer (MG), Low Frequency Electromagnetic Fields (LFEM) and Vibro-Acoustics (VA). As part of the MCS algorithm, a novel formulation of the extended Kalman Filter (EKF) is proposed for marching existing utility tracks from a scan cross-section (scs) to the next one; novel rules for initializing utilities based on hypothesized detections on the first scs and for associating predicted utility tracks with hypothesized detections in the following scss are introduced.
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