Examples
Collision Detection (FRC)
Full LabVIEW Source code on Github
Detecting motion/no-motion can be simply detected by determining if a body's linear
acceleration exceeds a small threshold.
Using the data directly from accelerometers, this is not as easy as it seems, since raw
accelerometer readings contain both acceleration due to gravity as well as acceleration due to a
body's motion. One method for detecting motion with raw acceleration data is to use a
pass
filter, which lets quickly-changing information through but blocks information that doesn't
change frequently.
However, a more comprehensive and reliable approach is to subtract the acceleration due to
gravity from the raw acceleration values. The result value is known as "world linear
acceleration", representing the actual amount of acceleration due to motion, and is calculated
automatically by navX MXP's motion processor. Whenever the sum of the world linear
acceleration in both the X and Y axes exceeds a "motion threshold", motion is occurring.
FRC C++ Example
Motion Detection (FRC)
high-
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