Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310478575> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4310478575 endingPage "770" @default.
- W4310478575 startingPage "770" @default.
- W4310478575 abstract "The scientific research strength in the aerospace field has become an essential criterion for measuring a country’s scientific and technological level and comprehensive national power, but in the grand scheme, many factors are beyond human control. As is known, the difficulty with non-cooperative target intersection docking is its failure to provide attitude information autonomously. The existing non-cooperative target poses estimation methods with low accuracy and high resource consumption. This paper proposes a deep-learning-based pose estimation method for solving these problems. The proposed pose estimation method consists of two distinctly innovative works. You Only Look Once v5 (YOLOv5) is an innovative and lightweight network that is used to pre-recognize non-cooperative targets. Another part introduces concurrent space and channel compressor theory modules in a lightweight High-Resolution Network (HRNet) to extend its advantages in real-time, and hence proposes a spatial and channel Squeeze and Excitation—Lightweight High-Resolution Network (scSE-LHRNet) network for pose estimation. To verify the superiority of the proposed network, experiments were conducted on a publicly available dataset with multiple evaluation metrics to compare and analyze existing methods. The experimental results show that the proposed pose estimation method dramatically reduces the complexity of the model, effectively decreases the amount of computation, and achieves significant pose estimation results." @default.
- W4310478575 created "2022-12-10" @default.
- W4310478575 creator A5009483003 @default.
- W4310478575 creator A5028402689 @default.
- W4310478575 creator A5031334047 @default.
- W4310478575 creator A5089838905 @default.
- W4310478575 date "2022-11-29" @default.
- W4310478575 modified "2023-10-14" @default.
- W4310478575 title "Pose Estimation Method for Non-Cooperative Target Based on Deep Learning" @default.
- W4310478575 cites W1491719799 @default.
- W4310478575 cites W1591870335 @default.
- W4310478575 cites W1677409904 @default.
- W4310478575 cites W2151103935 @default.
- W4310478575 cites W2200124539 @default.
- W4310478575 cites W2324078091 @default.
- W4310478575 cites W2468170809 @default.
- W4310478575 cites W2531409750 @default.
- W4310478575 cites W2594388292 @default.
- W4310478575 cites W2810416830 @default.
- W4310478575 cites W2888493720 @default.
- W4310478575 cites W2916798096 @default.
- W4310478575 cites W2952916611 @default.
- W4310478575 cites W2962766617 @default.
- W4310478575 cites W2964314455 @default.
- W4310478575 cites W2988274083 @default.
- W4310478575 cites W2998676925 @default.
- W4310478575 cites W3033485479 @default.
- W4310478575 cites W3046561219 @default.
- W4310478575 cites W3085312663 @default.
- W4310478575 cites W3089381104 @default.
- W4310478575 cites W3203127093 @default.
- W4310478575 cites W639708223 @default.
- W4310478575 doi "https://doi.org/10.3390/aerospace9120770" @default.
- W4310478575 hasPublicationYear "2022" @default.
- W4310478575 type Work @default.
- W4310478575 citedByCount "2" @default.
- W4310478575 countsByYear W43104785752023 @default.
- W4310478575 crossrefType "journal-article" @default.
- W4310478575 hasAuthorship W4310478575A5009483003 @default.
- W4310478575 hasAuthorship W4310478575A5028402689 @default.
- W4310478575 hasAuthorship W4310478575A5031334047 @default.
- W4310478575 hasAuthorship W4310478575A5089838905 @default.
- W4310478575 hasBestOaLocation W43104785751 @default.
- W4310478575 hasConcept C11413529 @default.
- W4310478575 hasConcept C119857082 @default.
- W4310478575 hasConcept C124101348 @default.
- W4310478575 hasConcept C127413603 @default.
- W4310478575 hasConcept C146978453 @default.
- W4310478575 hasConcept C154945302 @default.
- W4310478575 hasConcept C41008148 @default.
- W4310478575 hasConcept C45374587 @default.
- W4310478575 hasConcept C52102323 @default.
- W4310478575 hasConcept C64543145 @default.
- W4310478575 hasConceptScore W4310478575C11413529 @default.
- W4310478575 hasConceptScore W4310478575C119857082 @default.
- W4310478575 hasConceptScore W4310478575C124101348 @default.
- W4310478575 hasConceptScore W4310478575C127413603 @default.
- W4310478575 hasConceptScore W4310478575C146978453 @default.
- W4310478575 hasConceptScore W4310478575C154945302 @default.
- W4310478575 hasConceptScore W4310478575C41008148 @default.
- W4310478575 hasConceptScore W4310478575C45374587 @default.
- W4310478575 hasConceptScore W4310478575C52102323 @default.
- W4310478575 hasConceptScore W4310478575C64543145 @default.
- W4310478575 hasIssue "12" @default.
- W4310478575 hasLocation W43104785751 @default.
- W4310478575 hasLocation W43104785752 @default.
- W4310478575 hasOpenAccess W4310478575 @default.
- W4310478575 hasPrimaryLocation W43104785751 @default.
- W4310478575 hasRelatedWork W2523096747 @default.
- W4310478575 hasRelatedWork W2790273275 @default.
- W4310478575 hasRelatedWork W2961085424 @default.
- W4310478575 hasRelatedWork W2963364380 @default.
- W4310478575 hasRelatedWork W3171518929 @default.
- W4310478575 hasRelatedWork W3195696128 @default.
- W4310478575 hasRelatedWork W4206171875 @default.
- W4310478575 hasRelatedWork W4306674287 @default.
- W4310478575 hasRelatedWork W4306804934 @default.
- W4310478575 hasRelatedWork W4224009465 @default.
- W4310478575 hasVolume "9" @default.
- W4310478575 isParatext "false" @default.
- W4310478575 isRetracted "false" @default.
- W4310478575 workType "article" @default.