Ukhwah et al., 2019 - Google Patents
Asphalt pavement pothole detection using deep learning method based on YOLO neural networkUkhwah et al., 2019
- Document ID
- 17267526717262987223
- Author
- Ukhwah E
- Yuniarno E
- Suprapto Y
- Publication year
- Publication venue
- 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA)
External Links
Snippet
There is an increasing need for assessment of national road condition. Currently, some automatic devices have been extensively applied to collect up-date data about road condition, such as the use of survey vehicle for collecting data-which make it faster and more …
- 238000001514 detection method 0 title abstract description 74
Classifications
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6279—Classification techniques relating to the number of classes
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- G—PHYSICS
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
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