项目作者: HamaguRe

项目描述 :
Quaternion library
高级语言: Rust
项目地址: git://github.com/HamaguRe/quaternion.git
创建时间: 2019-01-26T11:42:44Z
项目社区:https://github.com/HamaguRe/quaternion

开源协议:MIT License

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quaternion-core

Latest version
Documentation
Minimum rustc
License

Quaternion library written in Rust.

This provides Quaternion operations and interconversion with several attitude
representations as generic functions (supports f32 & f64).

Additionally, it also works in a no_std environment!

Usage

Add this to your Cargo.toml:

  1. [dependencies]
  2. quaternion-core = "0.5"

For use in a no_std environment:

  1. [dependencies.quaternion-core]
  2. version = "0.5"
  3. default-features = false
  4. features = ["libm"]

Conversion

Conversion

Interconversion with 24 different euler angles (12 each of Intrinsic and Extrinsic)
is possible!!

Other interconversions with axis/angle and rotation vector are also possible.

Features

fma

When this feature is enabled, the
mul_add
method will be used internally as much as possible.
That is, (s * a) + b will be expanded as s.mul_add(a, b) at compile time.

This crate uses the mul_add method mainly to improve calculation speed, but if the CPU does
not support the FMA (Fused Multiply-Add) instruction or if the libm feature is
enabled, then the calculation is performed by the software implementation.
In this case, it may be rather slower than if the fma feature is not enabled.

libm

If you set default-features=false (do not import std), you must enable this feature.

In this case, mathematical functions (e.g. sin, cos, sqrt …) are provided by
libm crate.

norm-sqrt

When this feature is enabled, the default norm(a) implementation is compiled with
dot(a, a).sqrt() instead.

By default, the norm(a) function is implemented in such a way that overflow and
underflow are less likely to occur than with dot(a, a).sqrt(). However, if extremely
large values are not input and underflow is not that much of a concern,
dot(a, a).sqrt() is sufficient (and dot(a, a).sqrt() is faster than the default implementation in most cases).

serde-serialize

When this feature is enabled, RotationSequence and RotationType will both
implement serde::Serialize and serde::Deserialize.

Example

  1. use quaternion_core as quat;
  2. const PI: f64 = std::f64::consts::PI;
  3. const EPSILON: f64 = 1e-12;
  4. fn main() {
  5. // Generates a quaternion representing the
  6. // rotation of π/2[rad] around the y-axis.
  7. let q = quat::from_axis_angle([0.0, 1.0, 0.0], PI/2.0);
  8. // Rotate the point.
  9. let r = quat::point_rotation(q, [2.0, 2.0, 0.0]);
  10. // Check if the calculation is correct.
  11. let diff = quat::sub([0.0, 2.0, -2.0], r);
  12. for val in diff {
  13. assert!( val.abs() < EPSILON );
  14. }
  15. }

Development concept

In creating this crate, I tried to keep the implementation simple and practical.

All functions are implemented in such a way that the computational cost is as small as
possible (but not too complex to implement), which is a great advantage for everyone.

Also, since I started creating this crate to experiment with attitude estimation, many parts
were implemented with the intention of running on a microcontroller (e.g. the norm-sqrt feature).

Releases

Release notes are available in RELEASES.md.

License

Licensed under either of
Apache License, Version 2.0
or
MIT License
at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted
for inclusion in the work by you, as defined in the Apache-2.0 license, shall
be dual licensed as above, without any additional terms or conditions.