PIDF-LO Profile - PowerPoint PPT Presentation

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PIDF-LO Profile

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Updated the rules based on comments to make them less ambiguous. ... uncertainty that spans the Greenwich Meridian or the Equator cannot be represented: ... – PowerPoint PPT presentation

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Title: PIDF-LO Profile


1
PIDF-LO Profile
  • James Winterbottom,
  • Martin Thomson
  • IETF-65

2
Whats Changed?
  • Updated the rules based on comments to make them
    less ambiguous.
  • Removed much of the geospatial section and made
    extensive references to the GeoShape draft.
  • Modified examples to be in line with Revised
    Civic draft and GeoShape draft.

3
Issues
  • Recommend a restriction of polygon to 16 points
    when transporting own location.
  • Do we want to recommend shape types for emergency
    calling?

4
LCI and Uncertainty
5
LCI Uncertainty
  • In LCI (RFC 3825) defines a resolution that
    describes a region of uncertainty.
  • Appendix A of PIDF-LO Profile describes how to
    get a PIDF-LO from LCI.
  • Resolution indicates a number of bits that can be
    considered valid.

6
Converting from LCI
  • (From RFC 3825) 38.89868 is
  • 000100110.1110011000001111111001000
  • A resolution of 18 indicates a range using the
    first 18 bits
  • 000100110.111001100xxxxxxxxxxxxxxxx
  • x bits can have any value from all 0s to all 1s
  • 000100110.1110011000000000000000000 to
    000100110.1110011001111111111111111
  • 38.8984375 to 38.9003905951976776123046875

7
Converting to LCI
  • (RFC 3825 doesnt include any example of this)
  • When converting a value with uncertainty to LCI,
    start with the maximum and minimum values
  • 32.98004 to 32.98054397 (56 metre range)
  • 000100000.1111101011100011111001110 to
    000100000.1111101100000100111011100
  • Resolution is the number of identical bits
  • 000100000.1111101, which is 16 bits
  • Converting back to check accuracy
  • 32.9765625 to 32.9843745 (870 metre range)

8
That wasnt a contrived example
  • That was a randomly selected point.
  • This gets much worse for certain border cases
  • 31.9999985 to 32.00000274 (0.5 metres)
  • 000011111.1111111111111111111001110 to
    000100000.0000000000000000001011100
  • The resulting resolution is only 3 bits!
  • Conversion gives a range from 0 to
    31.9999999701976776123046875
  • The error has increased to 3,500,000 metres!

9
Conclusion
  • LCI encoding has a major flaw.
  • This flaw causes it to break down near certain
    boundaries.
  • This problem can occur all over the world
    wherever the minimum and maximum values for a
    location differ in too many bits.
  • It doesnt matter what the original precision
    was!
  • A location with uncertainty that spans the
    Greenwich Meridian or the Equator cannot be
    represented
  • Resolution 0 bits!
  • Resolution is effectively useless.

10
For my next trick
  • I will demonstrate how important uncertainty is.
  • and why it should not be ignored.

11
Where is the Target Zone A or B?
  • This is easy its clearly in Zone A, right?

12
Where is the Target Zone A or B?
  • If you include uncertainty, the answer is less
    clear.
  • To be certain, the overlap with Zone A must be
    compared with the overlap with Zone B.

13
Where is the Target Zone A or B?
  • The amount of uncertainty determines which zone
    the Target is most likely to be in.
  • The bigger the uncertainty, the more likely the
    Target is in Zone B.
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