I’ve built a setup that holds 5 of these sensors at equal heights above a wood target.
Each of the sensors seems to have a unique error offset pattern that is roughly repeatable but different than the other sensors.
Additionally, these errors seem to change throughout the course of the day.
I’m curious if anyone else has experienced this, or knows of a way to mitigate it.
I’ve tried exploring all of the different settings I can play with in the lidar lite’s registers, but to no avail.
I’m looking for at least 1cm precision, the accuracy I don’t mind making a lookup table for corrections, but unfortunately I’m not getting good enough precision to make a lookup table like that.
Attached is some data and the setup. Each datapoint is a 5-second average of measurements at that distance. Cat was removed before testing.
Based on how similar those error-graphs look (shape), I’d lean toward this being an inherent limitation of the technology - daylight will produce the equivalent of ‘static’ in the form of light ‘noise’, which will be based on the sun’s angle relative to the sensor (and humidity, reflectivity, etc)…one way to correct this might be to normalize the data against a “reflectivity index” that correlates to the current conditions
The datasheet’s http://static.garmin.com/pumac/LIDAR-Li … _EN-US.pdf accuracy figures are based on a 90% reflective target indoors…I think these worse results are due to it being outdoors with items that aren’t specifically designed to reflect light
