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A Computer Vision Line-Tracking Algorithm for Automatic UAV Photovoltaic Plants Monitoring Applications
摘要： In this paper, the authors propose an UAV-based automatic inspection method for photovoltaic plants analyzing and testing a vision-based guidance method developed to this purpose. The maintenance of PV plants represents a key aspect for the pro?tability in energy production and autonomous inspection of such systems is a promising technology especially for large utility-scale plants where manned techniques have signi?cant limitations in terms of time, cost and performance. In this light, an ad hoc ?ight control solution is investigated to exploit available UAV sensor data to enhance ?ight monitoring capability and correct GNSS position errors with respect to ?nal target needs. The proposed algorithm has been tested in a simulated environment with a software-in-the loop (SITL) approach to show its effectiveness and ?nal comparison with state of the art solutions.
关键词： PV plant monitoring,Unmanned Aerial Vehicles,image processing,?y-by-sensor,computer vision,automatic ?ight
更新于2025-09-23 15:19:57
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[IEEE 2019 21st International Conference on Transparent Optical Networks (ICTON) - Angers, France (2019.7.9-2019.7.13)] 2019 21st International Conference on Transparent Optical Networks (ICTON) - Active Hyperspectral Mid-Infrared Imaging Based on Widely Tunable QCL Laser
摘要： Thermal imaging and the recent availability of widely tunable infrared QCL lasers (Quantum Cascade Laser) allow us to propose an active hyperspectral imaging system operating in mid-infrared (MIR) band to obtain simultaneously large amounts of spatial and spectral information on the samples. In order to evaluate more precisely the capacities of the active hyperspectral imaging, we propose a system composed of four powerful QCL tunable lasers (in order to cover 3 – 5 μm and 7 – 11 μm wavelengths) and three cameras: a visible and near-infrared (NIR) range, a bolometer for 7 – 13 μm range and an InSb cooled camera for 3 – 5 μm range. We present the algorithm for image acquisition, image and data processing. Finally, we present and discuss some preliminary results using this system to characterize plant leaves under controlled growing conditions.
关键词： plant monitoring,tunable QCL laser,mid-infrared,hyperspectral imaging,image processing
更新于2025-09-16 10:30:52