Process
Update step
You might say: measurement update, correct
The update step combines a predicted belief with a measurement likelihood; in the Gaussian linear case, the Kalman gain sets the correction.
- What it does
- Pulls the estimate toward sensor evidence and normally reduces its uncertainty.
- Ask
- Are outliers rejected before a measurement can corrupt the estimate?
Sources
- Timothy D. Barfoot, State Estimation for Robotics, Ch. 3 §3.3.3
Next, for the correction step, we express the joint density of our state and latest measurement, at time k, as a Gaussian.
Use it on your project
teardown-apply: hold "Update step" (update-step) from the teardown at https://teardownatlas.com/robotics/ against my project
Paste it into a coding agent that has the teardown skills.
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