20 releases (breaking)
0.16.0 | Aug 4, 2024 |
---|---|
0.15.1 | Feb 1, 2024 |
0.15.0 | Jan 16, 2023 |
0.14.0 | May 2, 2022 |
0.2.0 | May 8, 2020 |
#15 in Robotics
1,628 downloads per month
28KB
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adskalman-rs
Kalman filter and Rauch-Tung-Striebel smoothing implementation.
- Includes various methods of computing the covariance matrix on the update step.
- Estimates state of arbitrary dimensions using observations of arbitrary dimension.
- Types are checked at compile time.
- Uses nalgebra for linear algebra.
- Supports
no_std
operation to run on embedded devices.
disabling log::trace in release builds
To support debugging, adskalman
extensively uses the log::trace!()
macro.
You probably do not want this in your release builds. Therefore, in your
top-level application crate, you may want to use the release_max_level_debug
feature for the log crate like so:
[dependencies]
log = { version = "0.4", features = ["release_max_level_debug"] }
See the log
documentation for more information.
Running the examples
There are several examples in the examples/
directory, which is its own crate.
Run them like so:
cd examples
cargo run --bin online_tracking
Code of conduct
Anyone who interacts with this software in any space, including but not limited to this GitHub repository, must follow our code of conduct.
License
Licensed under either of these:
- Apache License, Version 2.0, (LICENSE-APACHE or https://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or https://opensource.org/licenses/MIT)
Dependencies
~3MB
~65K SLoC