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Titlebook: Signal and Information Processing, Networking and Computers; Proceedings of the 4 Songlin Sun Conference proceedings 2019 Springer Nature S

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Real-Time Vehicle License Plate Recognition Using Deep Learning not only can display excellent performance even under the bad condition, but also be utilized in real-time deployed efficiently to GPU. In our experiments, 99.98% of recognition is achieved for whole Chinese car plate characters and the test-time for one image is only 17.25 ms.
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License Plate Segmentation Method Using Deep Learning Techniquesard, less complex, and can be considered as a good alternative for some traditional digital image processing license plate segmentation methods. Also the main concept of proposed segmentation method has good extensibility so that it can be extended to any kind and format of license plates easily.
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Recognition of Vehicle-Logo Based on Faster-RCNN recognize vehicle logos of road-monitoring vehicles and have good robustness. Integrating Faster-RCNN model with VGG-16 is better than ResNet-50 in the dataset we prepare, which illustrates the deeper network may not be the better for different recognition tasks with different amount of data.
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Design and Verification of Attitude and Orbit Control System Based on Integrated Electronic Technolocording to the result of simulation, it can be known that the AOCS based on the integrated electronic technology satisfies preferably the strict requirements of the occultation sounding satellite constellation.
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