KEYWORDS: Unmanned aerial vehicles, Optical flow, Detection and tracking algorithms, Matrices, Sensors, Control systems, Design and modelling, Signal detection, Global Positioning System, Environmental sensing
When using UAVs to inventory goods in large warehouses, multiple targets need to be inventoried and the goods dropped off. Precise positioning of the UAV is necessary for accurate inventory tasks. The optical flow localization scheme is only suitable for the environment with good lighting conditions and rich ground texture. On the other hand, Lidar or UWB requires a higher cost. In this paper, we use optical flow and vision to achieve precise positioning of multitasking nodes. Optimizing the path of drones using the Floyd algorithm. During flight, vision is used to correct the accumulated error generated by the optical flow. We have carried out simulations and experiments. The result show that our scheme is effective and feasible and has the advantages of low cost and high accuracy.
KEYWORDS: Glasses, Classification systems, Matrices, Data modeling, Statistical analysis, Chemical composition, Education and training, Data acquisition, Cross validation, Analytical research
Ancient glass artifacts are the physical evidence of cultural exchange between East and West, and their correct identification is significant to archaeological work. However, glass artifacts are highly susceptible to surface weathering caused by the burial environment, which leads to the wrong discrimination of the glass category. In this study, we modeled the weathered artifacts based on Fisher Linear Discriminant Analysis (FLDA), established the index system of the classification model, and obtained the discriminant function for each category of glass artifacts. The correct rate of the model was 98.6% on the test set and 100% on the training set. The results show that the Fisher discriminant model can effectively identify ancient glass types by using the chemical composition indices selected in this study as discriminant factors, which provides a new method for identifying ancient glass artifacts.
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