Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_75b4394ded067533506e5f5538c7b843 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2111-10 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-246 |
classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F111-10 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-246 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-20 |
filingDate |
2020-12-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_45513f019a7a76dd46fbec943f123563 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f2accc50ce9f76ea96f38cffbc11f880 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_394c2dd2eba392fa99275a77c61b30a6 |
publicationDate |
2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
CN-114693726-A |
titleOfInvention |
A Feature Selection SLAM Method Incorporating Attention and Prediction |
abstract |
The present invention relates to a feature selection SLAM method incorporating attention and prediction. The method of the invention includes: establishing a mathematical model for quantifying the feasibility of feature points; establishing a nonlinear perspective projection model, and using the simplified linear measurement model to calculate the information matrix of the feature points; A greedy algorithm with lazy evaluation selects κ features (approximately) that maximize the logdet metric, and then puts the selected features into the SLAM backend for nonlinear optimization. |
priorityDate |
2020-12-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |