gmcl
<p>\ gmcl, which stands for general monte carlo localization,\ [...]
gmcl, which stands for general monte carlo localization, is a probabilistic-based localization technique for mobile robots in 2D-known map. It integrates the adaptive monte carlo localization - amcl - approach with three different particle filter algorithms (Optimal, Intelligent, Self-adaptive) to improve the performance while working in real time. Main node structure and amcl-algorithms’s code was derived, with thanks, from Brian Gerkey's amcl package.
Available in
| Overlay | Newest | Ebuilds | Last activity | |
|---|---|---|---|---|
| ros-overlay GitHub ↗ | 1.0.1-r3 | 1 | 2 yr | details › |
Versions & arches
Use flags of 1.0.1-r3
- test Enable dependencies and/or preparations necessary to run tests (usually controlled by FEATURES=test but can be toggled independently)