Matches in SemOpenAlex for { <https://semopenalex.org/work/W4378904539> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4378904539 endingPage "012033" @default.
- W4378904539 startingPage "012033" @default.
- W4378904539 abstract "Abstract With the development of artificial intelligence and Internet of Things technology, more and more intelligent products are appearing around us, such as sweeping robots, library service robots and drug delivery robots, etc. In the practical application of these intelligent robots, the core technology of spatial positioning is inseparable, and considering the cost, signal interference and positioning accuracy, it is necessary to study the positioning technology with low cost, small size and strong anti-interference factors. To solve the problem of poor performance of positioning accuracy when using low-cost sensors in the physical environment, we use a four-wheel drive vehicle model as a carrier to build an unmanned vehicle system based on multi-modal sensor fusion, binocular vision localization and other technologies. The core of the system is the MM32F3277G9P chip from MindMotion and the Raspberry Pi embedded development board. The proposed vision information is based on the Intel Realsense T265 camera, which is fused with the data from the nine-axis inertial measurement unit (IMU) and the dual-frequency global positioning system (GPS), so that the positioning algorithm can continuously provide robust and accurate state estimation results in the physical environment through the complementary advantages." @default.
- W4378904539 created "2023-06-01" @default.
- W4378904539 creator A5031803321 @default.
- W4378904539 creator A5037458498 @default.
- W4378904539 creator A5037742951 @default.
- W4378904539 creator A5038117386 @default.
- W4378904539 creator A5073692193 @default.
- W4378904539 creator A5076419989 @default.
- W4378904539 date "2023-05-01" @default.
- W4378904539 modified "2023-09-28" @default.
- W4378904539 title "Design of a Multi-modal Sensor Fusion Unmanned Vehicle System based on Computer Vision" @default.
- W4378904539 doi "https://doi.org/10.1088/1742-6596/2504/1/012033" @default.
- W4378904539 hasPublicationYear "2023" @default.
- W4378904539 type Work @default.
- W4378904539 citedByCount "0" @default.
- W4378904539 crossrefType "journal-article" @default.
- W4378904539 hasAuthorship W4378904539A5031803321 @default.
- W4378904539 hasAuthorship W4378904539A5037458498 @default.
- W4378904539 hasAuthorship W4378904539A5037742951 @default.
- W4378904539 hasAuthorship W4378904539A5038117386 @default.
- W4378904539 hasAuthorship W4378904539A5073692193 @default.
- W4378904539 hasAuthorship W4378904539A5076419989 @default.
- W4378904539 hasBestOaLocation W43789045391 @default.
- W4378904539 hasConcept C127413603 @default.
- W4378904539 hasConcept C146978453 @default.
- W4378904539 hasConcept C149635348 @default.
- W4378904539 hasConcept C154945302 @default.
- W4378904539 hasConcept C158488048 @default.
- W4378904539 hasConcept C2778603505 @default.
- W4378904539 hasConcept C31972630 @default.
- W4378904539 hasConcept C33954974 @default.
- W4378904539 hasConcept C41008148 @default.
- W4378904539 hasConcept C5339829 @default.
- W4378904539 hasConcept C60229501 @default.
- W4378904539 hasConcept C62611344 @default.
- W4378904539 hasConcept C66938386 @default.
- W4378904539 hasConcept C76155785 @default.
- W4378904539 hasConcept C79061980 @default.
- W4378904539 hasConcept C79403827 @default.
- W4378904539 hasConcept C90509273 @default.
- W4378904539 hasConceptScore W4378904539C127413603 @default.
- W4378904539 hasConceptScore W4378904539C146978453 @default.
- W4378904539 hasConceptScore W4378904539C149635348 @default.
- W4378904539 hasConceptScore W4378904539C154945302 @default.
- W4378904539 hasConceptScore W4378904539C158488048 @default.
- W4378904539 hasConceptScore W4378904539C2778603505 @default.
- W4378904539 hasConceptScore W4378904539C31972630 @default.
- W4378904539 hasConceptScore W4378904539C33954974 @default.
- W4378904539 hasConceptScore W4378904539C41008148 @default.
- W4378904539 hasConceptScore W4378904539C5339829 @default.
- W4378904539 hasConceptScore W4378904539C60229501 @default.
- W4378904539 hasConceptScore W4378904539C62611344 @default.
- W4378904539 hasConceptScore W4378904539C66938386 @default.
- W4378904539 hasConceptScore W4378904539C76155785 @default.
- W4378904539 hasConceptScore W4378904539C79061980 @default.
- W4378904539 hasConceptScore W4378904539C79403827 @default.
- W4378904539 hasConceptScore W4378904539C90509273 @default.
- W4378904539 hasIssue "1" @default.
- W4378904539 hasLocation W43789045391 @default.
- W4378904539 hasOpenAccess W4378904539 @default.
- W4378904539 hasPrimaryLocation W43789045391 @default.
- W4378904539 hasRelatedWork W1539600726 @default.
- W4378904539 hasRelatedWork W2007835046 @default.
- W4378904539 hasRelatedWork W2026041271 @default.
- W4378904539 hasRelatedWork W2375197998 @default.
- W4378904539 hasRelatedWork W2382593108 @default.
- W4378904539 hasRelatedWork W2769948943 @default.
- W4378904539 hasRelatedWork W3118470717 @default.
- W4378904539 hasRelatedWork W4308576065 @default.
- W4378904539 hasRelatedWork W4316659749 @default.
- W4378904539 hasRelatedWork W653682969 @default.
- W4378904539 hasVolume "2504" @default.
- W4378904539 isParatext "false" @default.
- W4378904539 isRetracted "false" @default.
- W4378904539 workType "article" @default.