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ERROR MODELS FOR LIGHT SENSORS BY STATISTICAL ANALYSIS OF RAW SENSOR MEASUREMENTS F. The boxes on each plot show the relative error for (1) simple linear model, (2) linear model with logarithmic transform, (3) non-parametric histogram-based model with L1 error measure, (4) non-parametric histogram-based model with L2 error measure, (5) non-parametric loess fit with a span of 0.2, (6) non-parametric loess fit with a span of 0.3, and finally (7) non-parametric loess fit with a span of 0.4.
Additionally, the paper contains more such as measurement, sensors, calibration curve, error, self calibration, and measurements.