http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113947605-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3966ddee295e08cc6fcce4695c77f91b |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10028 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10024 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20132 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S7-4802 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S17-89 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-10 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S7-48 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S17-89 |
| filingDate | 2021-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e4ce904ddb5feb2baf6d137bb7116fd2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1cac956f408e847398657da26a8ba2d3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fb81e40130ca90a243e0687249aa43d2 |
| publicationDate | 2022-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113947605-A |
| titleOfInvention | Road tree target point cloud segmentation method based on YOLACT |
| abstract | The invention provides a road tree target point cloud segmentation method based on YOLACT, which comprises the following steps: s1, selecting a part of sample street trees, loading a two-dimensional radar on a mobile vehicle to scan the street trees, and acquiring sample point cloud data; s2, establishing a three-dimensional coordinate system for the point cloud data obtained by scanning, and establishing a three-channel color image; s3, cutting and labeling the obtained three-channel color image; s4, training the marked image by adopting a YoLACT street tree target point cloud segmentation algorithm until a preset iteration number is reached, and finishing training to obtain a model; s5, the target segmentation is carried out on the street tree to be detected by adopting the trained model. The road tree target point cloud segmentation method based on the Yoract can detect the road tree target point cloud in a complex urban environment and rapidly and accurately segment the road tree target; can provide real-time data for target pesticide application for popularization of the orchard target pesticide application technology. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115953453-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115953453-B |
| priorityDate | 2021-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID22978774 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419701332 |
Total number of triples: 26.