| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ff3c3b18c00fa0d7d6d9f209b88e4b89
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_21f7f2877f1f1f6f8ccec6afaaa821a0 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30132 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23213 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-762
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-774
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-26 |
| filingDate |
2021-12-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ffcbc728004ce516829e7bf1faf1059a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6ecb0be2a4b4350523328557e2e83dff
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_062d9a7820fa8791e379337b7bcad961
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_91dab2afac9bc6e1176280e44b609b0e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b28f65b601a13c512a3498d387ffea3e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_608eeb49d67f533e7c8e9d1459342e58
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f70587e919e8d7c5d3844d6e3aa92863
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_98d190b0b73bdd7784b7d2c135b3b8c0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7045f42ba49f45e39a147e40cc0e8165
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a92545338155a6a39052e498e9660b85 |
| publicationDate |
2022-03-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114240901-A |
| titleOfInvention |
A real-time detection method and system for abnormal state of airport pavement |
| abstract |
The invention provides a real-time detection method for abnormal state of airport pavement, comprising: optimizing the trained YOLOv5 target detection model and DDRNet semantic segmentation model based on a preset reasoning optimizer; The processing algorithm and the image acceleration decoder are deployed on the image detection device of the movable body; the movable inspection body is controlled to travel according to the preset driving path, and the image acquisition device is controlled to collect the image of the airport road surface; the image acceleration decoder acquires the collected images in real time. The airport pavement image is decoded; YOLOv5, DDRNet and classical image processing algorithms are used to detect abnormal states in the decoded images, which include pavement surface diseases, pavement foreign objects and abnormal wear of pavement markings. The invention also provides a real-time detection system for the abnormal state of the airport pavement. The present invention can discover the abnormal state of the airport road surface in real time. |
| priorityDate |
2021-12-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |