http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111007880-B
Outgoing Links
Predicate | Object |
---|---|
classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02T10-40 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05D1-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05D1-0257 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05D1-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05D1-12 |
filingDate | 2019-12-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-09-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-09-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-111007880-B |
titleOfInvention | An Extended Target Tracking Method Based on Automotive Radar |
abstract | The invention discloses an extended target tracking method based on automotive radar. A random finite set model of an actual target vehicle is established according to a state set, a random finite set model of the measurement target vehicle is established according to a measurement set, an abnormal Doppler velocity is corrected, and the azimuth ‑Doppler velocity pre-partitioning is performed using Gibbs sampling for data association. If the association is successful, the multi-target PMBM posterior density is updated, and then the multi-target PMBM prior density at the next moment is predicted. If the association is unsuccessful, it is determined whether there is a new When the target enters, the multi-target PMBM prior density at the next moment is predicted for the new target, and the target output result is calculated in combination with the complete state vector. Otherwise, the clutter is eliminated, and the present invention can greatly improve the tracking efficiency by adding a small amount of time complexity. , to improve tracking accuracy. |
priorityDate | 2019-12-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 16.