[Probablistic Robotics] Recursive State Estimation
Bayes Filters
1. The Bayes Filter Algorithm
The most general algorithm for calculating beliefs is given by the Bayes Filter algorithm.
The general algorithm for Bayes filtering
- recursive
- $bel(x_t)$ at time $t$ is calculated from the belief $bel(x_{t-1})$ at the time $t-1$
input
- belief bel at time $t-1$
- most recent control $u_t$
- most recent measuremnt $z_t$
output
- belief bel$(x_t)$ at time t
The Bayes filter algorithm possesses two essential steps.
- update step (, control update, or prediction)
- measurment update