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All figures (15)
Figure 8. Data collection sites in the City of London (GoogleTM earth)
Figure 7. Example City of London, street and building types (GoogleTM earth)
Figure 4: LB-3DMA algorithm scoring strategy
Figure 9. The 3D model of City of London used in the experiments (data courtesy of Ordnance Survey)
TABLE III. DETAILS OF HORIZONTAL 3-CONSTELLATION POSITIONING RESULTS USING U-BLOX EVK M8T GNSS RECEIVER
Figure 1: Intelligent urban positioning
Figure 11. u-blox 2-constellation (GPS + GLONASS), City of London, along-street, across-street and horizontal RMS positioning error(Legend of Figure 10 applies for this figure)
Figure 12. Across-street RMS positioning error of 2- and 3- constellation shadow matching
Figure 10. u-blox 3-constellation (GPS+GLONASS+Galileo), City of London, along-street, across-street and horizontal RMS positioning error
TABLE II. DETAILS OF ACROSS-STREET 3-CONSTELLATION POSITIONING RESULTS USING U-BLOX EVK M8T GNSS RECEIVER
TABLE I. DETAILS OF ALONG-STREET 3-CONSTELLATION POSITIONING RESULTS USING U-BLOX EVK M8T GNSS RECEIVER
Figure 2: Proposed IUP algorithm
Figure 3: 3DMA GNSS approach
Figure 5: Shadow matching scoring strategy
Figure 6. u-blox EVK M8T-based data logging hardware
Proceedings Article
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DOI
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3D-mapping-aided GNSS exploiting Galileo for better accuracy in dense urban environments
[...]
Mounir Adjrad
1
,
Paul D. Groves
1
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Institutions (1)
University College London
1
22 Jun 2017
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