Crates.io | ahrs |
lib.rs | ahrs |
version | 0.7.0 |
source | src |
created_at | 2016-09-17 17:46:07.466805 |
updated_at | 2024-09-13 22:54:54.283223 |
description | A Rust port of Madgwick's AHRS algorithm |
homepage | |
repository | https://github.com/jmagnuson/ahrs-rs |
max_upload_size | |
id | 6527 |
size | 57,374 |
A Rust port of Sebastian Madgwick's AHRS algorithm.
Add ahrs-rs to your Cargo.toml
:
[dependencies]
ahrs = "0.7"
Here's a simple example that updates the filter state with arbitrary sensor data:
use ahrs::{Ahrs, Madgwick};
use nalgebra::Vector3;
use std::f64;
fn main() {
// Initialize filter with default values
let mut ahrs = Madgwick::default();
// Obtain sensor values from a source
let gyroscope = Vector3::new(60.1, 30.2, 20.3);
let accelerometer = Vector3::new(0.1, 0.2, 0.3);
let magnetometer = Vector3::new(0.5, 0.6, 0.7);
// Run inputs through AHRS filter (gyroscope must be radians/s)
let quat = ahrs
.update(
&(gyroscope * (f64::consts::PI / 180.0)),
&accelerometer,
&magnetometer,
)
.unwrap();
let (roll, pitch, yaw) = quat.euler_angles();
// Do something with the updated state quaternion
println!("pitch={}, roll={}, yaw={}", pitch, roll, yaw);
}
Crate nalgebra is also needed as a dependency for its algebraic types Vector3
and Quaternion
.
field_access
Gives [im]mutable access to inner algorithm struct fields that aren't normally exposed. The exposed API is considered unstable for the time-being, but is nevertheless a useful feature. For example:
use ahrs::Madgwick;
let mut ahrs = Madgwick::default();
#[cfg(feature = "field_access")]
{
let sample_period: &mut f64 = ahrs.sample_period_mut();
*sample_period = 0.5;
}
MIT