FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319837668> ?p ?o ?g. }

• W4319837668 endingPage "5338" @default.
• W4319837668 startingPage "5325" @default.
• W4319837668 abstract "With the advancement of light detection and ranging (LiDAR) technology in recent years, various new types of LiDAR have emerged, and the price of LiDAR equipment has gradually decreased. At present, low-cost solid-state LiDARs are gradually occupying the market. To evaluate the performance of two LIDARs for simultaneous localization and mapping. This study investigated the application of solid-state LiDAR and mechanical LiDAR in localization and mapping systems and comparatively analyzed their advantages and disadvantages. We selected some classic open-source algorithms [such as LiDAR odometry and mapping (A-LOAM)] to evaluate the performance of mechanical LiDAR and solid-state LiDAR in localization. The experimental data are adopted from some representative open-source data (such as KITTI data) and real data collected by Shenzhen University. The results showed that the localization accuracy of solid-state LiDAR was lower than that of mechanical LiDAR when the mobile robot moved to the corner and faced square to the wall at close range. Moreover, the localization accuracy of solid-state LiDAR was the same as or even higher than that of mechanical LiDAR when the mobile robots had small changes in the field of view (FOV) and the mobile robot moved along straight lines or other tracks." @default.
• W4319837668 created "2023-02-11" @default.
• W4319837668 creator A5028688827 @default.
• W4319837668 creator A5039519993 @default.
• W4319837668 creator A5041042386 @default.
• W4319837668 creator A5046935762 @default.
• W4319837668 creator A5070491536 @default.
• W4319837668 date "2023-03-01" @default.
• W4319837668 modified "2023-10-09" @default.
• W4319837668 title "Comparative Analysis of SLAM Algorithms for Mechanical LiDAR and Solid-State LiDAR" @default.
• W4319837668 cites W1670904102 @default.
• W4319837668 cites W1967740178 @default.
• W4319837668 cites W1979266466 @default.
• W4319837668 cites W2018801646 @default.
• W4319837668 cites W2024908906 @default.
• W4319837668 cites W2043502923 @default.
• W4319837668 cites W2081741527 @default.
• W4319837668 cites W2115579991 @default.
• W4319837668 cites W2130422193 @default.
• W4319837668 cites W2151290401 @default.
• W4319837668 cites W2296228853 @default.
• W4319837668 cites W2338692943 @default.
• W4319837668 cites W2411093439 @default.
• W4319837668 cites W2562522049 @default.
• W4319837668 cites W2607216769 @default.
• W4319837668 cites W2621274416 @default.
• W4319837668 cites W2761155850 @default.
• W4319837668 cites W2782715402 @default.
• W4319837668 cites W2908603664 @default.
• W4319837668 cites W2909908358 @default.
• W4319837668 cites W2944296259 @default.
• W4319837668 cites W2945587613 @default.
• W4319837668 cites W2950989657 @default.
• W4319837668 cites W2963479576 @default.
• W4319837668 cites W2967759300 @default.
• W4319837668 cites W3013518864 @default.
• W4319837668 cites W3018917192 @default.
• W4319837668 cites W3033519169 @default.
• W4319837668 cites W3047708072 @default.
• W4319837668 cites W3083367015 @default.
• W4319837668 cites W3089503906 @default.
• W4319837668 cites W3100435238 @default.
• W4319837668 cites W3111598592 @default.
• W4319837668 cites W3120412245 @default.
• W4319837668 cites W3130955304 @default.
• W4319837668 cites W3132100918 @default.
• W4319837668 cites W3133648073 @default.
• W4319837668 cites W3133767727 @default.
• W4319837668 cites W3134172789 @default.
• W4319837668 cites W3136926086 @default.
• W4319837668 cites W3145715369 @default.
• W4319837668 cites W3164083741 @default.
• W4319837668 cites W3167842529 @default.
• W4319837668 cites W3169649522 @default.
• W4319837668 cites W3179987205 @default.
• W4319837668 cites W3196708299 @default.
• W4319837668 cites W3207826836 @default.
• W4319837668 cites W4205709873 @default.
• W4319837668 cites W4238072240 @default.
• W4319837668 doi "https://doi.org/10.1109/jsen.2023.3238077" @default.
• W4319837668 hasPublicationYear "2023" @default.
• W4319837668 type Work @default.
• W4319837668 citedByCount "1" @default.
• W4319837668 crossrefType "journal-article" @default.
• W4319837668 hasAuthorship W4319837668A5028688827 @default.
• W4319837668 hasAuthorship W4319837668A5039519993 @default.
• W4319837668 hasAuthorship W4319837668A5041042386 @default.
• W4319837668 hasAuthorship W4319837668A5046935762 @default.
• W4319837668 hasAuthorship W4319837668A5070491536 @default.
• W4319837668 hasConcept C115051666 @default.
• W4319837668 hasConcept C154945302 @default.
• W4319837668 hasConcept C19966478 @default.
• W4319837668 hasConcept C205649164 @default.
• W4319837668 hasConcept C41008148 @default.
• W4319837668 hasConcept C49441653 @default.
• W4319837668 hasConcept C51399673 @default.
• W4319837668 hasConcept C62649853 @default.
• W4319837668 hasConcept C76155785 @default.
• W4319837668 hasConcept C86369673 @default.
• W4319837668 hasConcept C90509273 @default.
• W4319837668 hasConceptScore W4319837668C115051666 @default.
• W4319837668 hasConceptScore W4319837668C154945302 @default.
• W4319837668 hasConceptScore W4319837668C19966478 @default.
• W4319837668 hasConceptScore W4319837668C205649164 @default.
• W4319837668 hasConceptScore W4319837668C41008148 @default.
• W4319837668 hasConceptScore W4319837668C49441653 @default.
• W4319837668 hasConceptScore W4319837668C51399673 @default.
• W4319837668 hasConceptScore W4319837668C62649853 @default.
• W4319837668 hasConceptScore W4319837668C76155785 @default.
• W4319837668 hasConceptScore W4319837668C86369673 @default.
• W4319837668 hasConceptScore W4319837668C90509273 @default.
• W4319837668 hasFunder F4320321001 @default.
• W4319837668 hasFunder F4320321543 @default.
• W4319837668 hasFunder F4320329801 @default.
• W4319837668 hasFunder F4320335777 @default.
• W4319837668 hasIssue "5" @default.
• W4319837668 hasLocation W43198376681 @default.
• W4319837668 hasOpenAccess W4319837668 @default.

• next