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Evaluate lane boundary models against ground truth

returns the total number of lane boundary matches (true positives) within the
lateral distance `numMatches`

= evaluateLaneBoundaries(`boundaries`

,`worldGroundTruthPoints`

,`threshold`

)`threshold`

by comparing the input boundary
models, `boundaries`

, against ground truth data.

`[`

also returns
the total number of misses (false negatives) and false positives,
using the previous inputs.`numMatches`

,`numMissed`

,`numFalsePositives`

]
= evaluateLaneBoundaries(___)

`[___] = evaluateLaneBoundaries(___,`

specifies
the `xWorld`

)*x*-axis points at which to perform the comparisons.
Points specified in `worldGroundTruthPoints`

are
linearly interpolated at the given *x*-axis locations.

`[___] = evaluateLaneBoundaries(`

compares the boundaries against ground truth models that are specified in an
array of lane boundary objects or a cell array of arrays.`boundaries`

,`groundTruthBoundaries`

,`threshold`

)

`[___,`

also returns
the assignment indices that are specified in `assignments`

]
= evaluateLaneBoundaries(___)`groundTruthBoundaries`

.
Each boundary is matched to the corresponding class assignment in `groundTruthBoundaries`

.
The `k`

th boundary in `boundaries`

is
matched to the `assignments(k)`

element of `worldGroundTruthPoints`

.
Zero indicates a false positive (no match found).