http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2022133870-A
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classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
filingDate | 2021-03-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5c132799dd57e8e5ba98cc28c460d91b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0c7838b7adcb87d0b4f750205b3f01e5 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_df0ba54334677a723d0b3e377813b09b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fc88a72773a023679116e5017b496abb |
publicationDate | 2022-09-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | JP-2022133870-A |
titleOfInvention | Pavement soundness evaluation method |
abstract | [Problem] To detect damage by using a road surface image based on the perspective method, which is extracted from a moving image obtained by traveling while photographing the road surface, and using the entire image area of the road surface included in the road surface image. and further provide a pavement soundness evaluation system and method that are less susceptible to erroneous damage detection. A method constructs an object detection model using a plurality of image data combined with a damage image and a damage definition included in a perspective-based still image as damage learning data 1 . Then, a plurality of data obtained by combining the number of rectangles 5 in the analysis result image 4 in which rectangles surrounding the damage output as the analysis result are displayed and the pavement soundness evaluation result 6 obtained by visual inspection of the analysis result image 4 is used as the evaluation learning data 7 to evaluate the pavement soundness. [Selection drawing] Fig. 1 |
priorityDate | 2021-03-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
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Total number of triples: 23.