VL53L0X传感器平均所有返回的光子。事实上，串扰校准步骤是一种考虑那些不需要的光子的方法。忽略错误的东西的一种方法是增加正确的东西的亮度。
你的目标上的一些3M反光带会非常明亮，其他光子将是你平均值的极小组成部分。你能这样做吗？
我能想到的另一件事就是过度校准串扰。但如果寄生反射不一致，那就不行了。
看一眼：
https://www.youtube.com/watch?v=BHM2CZVXZGc
也许通过设计这样的封面玻璃，你可以解决这个问题。
以上来自于谷歌翻译
以下为原文
The VL53L0X sensor averages ALL the photons it gets back. In fact the crosstalk calibration step is a method of accounting for those unwanted photons. One way to ignore the wrong stuff is to increase the brightness of the right stuff.
A bit of 3M reflective tape on your target would be so bright that the other photons would be an extremely small component of your average. Can you do that?
The only other thing I can think of is to over-calibrate the crosstalk. But if the parasitic reflections are not consistent, that wont work.
Take a look at:
https://www.youtube.com/watch?v=BHM2CZVXZGc
Perhaps by designing a coverglass like this you can get around the issue.
VL53L0X传感器平均所有返回的光子。事实上，串扰校准步骤是一种考虑那些不需要的光子的方法。忽略错误的东西的一种方法是增加正确的东西的亮度。
你的目标上的一些3M反光带会非常明亮，其他光子将是你平均值的极小组成部分。你能这样做吗？
我能想到的另一件事就是过度校准串扰。但如果寄生反射不一致，那就不行了。
看一眼：
https://www.youtube.com/watch?v=BHM2CZVXZGc
也许通过设计这样的封面玻璃，你可以解决这个问题。
以上来自于谷歌翻译
以下为原文
The VL53L0X sensor averages ALL the photons it gets back. In fact the crosstalk calibration step is a method of accounting for those unwanted photons. One way to ignore the wrong stuff is to increase the brightness of the right stuff.
A bit of 3M reflective tape on your target would be so bright that the other photons would be an extremely small component of your average. Can you do that?
The only other thing I can think of is to over-calibrate the crosstalk. But if the parasitic reflections are not consistent, that wont work.
Take a look at:
https://www.youtube.com/watch?v=BHM2CZVXZGc
Perhaps by designing a coverglass like this you can get around the issue.
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