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机译:通过图像捕获和地理标记系统和深卷积神经网络,使用无人机的立即桥式视觉检查
Department of Civil and Environmental Engineering Chung-Ang University;
Department of Civil and Environmental Engineering Chung-Ang University;
Department of Civil and Environmental Engineering Korea Advanced Institute of Science and Technology;
Department of Civil and Environmental Engineering Korea Advanced Institute of Science and Technology;
Department of Structural Engineering Norwegian University of Science and Technology;
Visual inspection; damage detection; image capturing and geo-tagging system; crack map; homography; structural health monitoring;
机译:使用轻质卷积神经网络的无人空中车辆图像中的粗致细物对象检测和深度运动显着性
机译:基于多视图基于对象的无人航空系统图像湿地分类的深度卷积神经网络训练充实
机译:比较全卷积网络,随机森林,支持向量机和基于补丁的深度卷积神经网络,使用来自小型无人机系统的图像进行基于对象的湿地映射
机译:基于卷积神经网络的无人机紧急着陆航空影像安全水平估计
机译:使用深卷积神经网络进行实时视觉检测和跟踪框架用于微空气车辆
机译:深度卷积神经网络用于无人机航程测绘
机译:通过图像捕获和地理标记系统和深卷积神经网络,使用无人驾驶飞行器的即时桥接视觉检查
机译:迈向自动空中加油:利用卷积神经网络进行自动视觉飞行识别。