Click the
to change the background map, or view the two
trials separately.
For a little more background, look here.
Position calculated by standard GPS chip is in red.
SkyMeter post-processed position is in green.
Click the to change the background map, or view the two
trials separately.
For a little more background, look here.
* A disclaimer from SkyMeter, who was generous enough to give me their data to make those London maps:
This data is the "before" (red) and "after" (green) of the data processed by Skymeter with its first alpha test of data collected in London, UK, in heavy "urban canyon". This same data was analyzed by a third party (Mapflow from Ireland) in London. They calculated error as point to line perpendicular distance, and reported a reduction in the 90, 95 and 99 percent error quantiles of 26% 34% and 48% respectively (i.e. in meters). While this says the Skymeter process clearly removes error, this metric does not measure the second to second error variance, in otherwords, Skymeter removes absolute error AND makes the process much better behaved. This provides [1] a far-stronger evidentiary record, [2] two to three orders of magnitude greater compression, [3] spatial error bounding and [4] extremely rapid pricing-map registration (a trivial form of map matching at the data center)
This process is the first of four parts that [1] de-noises the GPS positioning signals, [2] characterizes the residual error for non-refutability, [3] bounds the spatial error, and [4] bound potential financial error. This process is part of a patented process that Skymeter claims can reduce tolling errors for GNSS-based tolling for distance-based road user charging as well as GNSS-based parking metering to arbitrary levels -- for example to one bill in 10,000, or to an arbitrary percentage such as 0.01% of a bill -- including in urban canyon.