http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113436235-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20076
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10028
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-66
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-33
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-33
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-66
filingDate 2021-05-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-113436235-B
titleOfInvention Laser radar and visual point cloud initialization automatic registration method
abstract The invention discloses an initialization automatic registration method of a laser radar and a visual point cloud, which is characterized in that scale estimation is added on the basis of the existing JRMPC (multipoint set combined registration) algorithm, and the JRMPC algorithm with the scale estimation is adopted to carry out the precise matching of the laser radar point cloud and the visual point cloud; the method combines voxel down sampling and ESF (shape function integration) descriptors to carry out rough matching of laser radar point cloud and visual point cloud, and solves the problem that the scale of the laser radar point cloud and the scale of the visual point cloud are different; by adopting the Euclidean distance calculation, the calculation amount can be reduced, and the calculation time can be shortened.
priorityDate 2021-05-25-04:00^^<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/CID43672
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419535645

Total number of triples: 16.