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Deep learning based road crack detection device using black box image and road crack detection method and computer program for executing the same
Deep learning based road crack detection device using black box image and road crack detection method and computer program for executing the same
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机译:基于深度学习的道路裂纹检测装置,使用黑盒图像和路裂纹检测方法和计算机程序执行相同
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摘要
The present invention relates to a deep learning-based road crack detection apparatus and method for detecting road cracks using a vehicle black box image, A road crack detection apparatus according to an embodiment of the present invention includes: a data collecting unit that is photographed by a vehicle black box and collects a plurality of image data including location information; an image extraction unit for extracting a plurality of reference images based on the vehicle moving distance information calculated using the location information included in the plurality of collected image data; A patch image generation unit that selects the reference image extracted by the image extraction unit in units of pixels of a certain size to classify classes for each of road cracks, lanes, and undamaged roads, and generates a patch image for each classified class ; a model training unit for training each patch image generated by the patch image generation unit to extract road cracks using a neural network model; And, when a plurality of image data including location information is input from an arbitrary vehicle black box, a plurality of reference frames are generated based on the moving distance information of the vehicle calculated using the location information included in the plurality of input image data. and a crack detection unit that extracts, extracts an image of the road surface from the plurality of extracted reference frames, and detects road cracks by applying a neural network model trained from the model training unit to the extracted image.
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