Source: ros-humble-nav2-amcl
Section: misc
Priority: optional
Maintainer: Mohammad Haghighipanah <mohammad.haghighipanah@intel.com>
Build-Depends: debhelper (>= 9.0.0), ros-humble-ament-cmake, ros-humble-ament-lint-auto <!nocheck>, ros-humble-ament-lint-common <!nocheck>, ros-humble-geometry-msgs, ros-humble-launch-ros, ros-humble-launch-testing, ros-humble-message-filters, ros-humble-nav-msgs, ros-humble-nav2-common, ros-humble-nav2-msgs, ros-humble-nav2-util, ros-humble-pluginlib, ros-humble-rclcpp, ros-humble-sensor-msgs, ros-humble-std-srvs, ros-humble-tf2, ros-humble-tf2-geometry-msgs, ros-humble-tf2-ros, ros-humble-ros-workspace
Homepage: 
Standards-Version: 3.9.2

Package: ros-humble-nav2-amcl
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, ros-humble-geometry-msgs, ros-humble-launch-ros, ros-humble-launch-testing, ros-humble-message-filters, ros-humble-nav-msgs, ros-humble-nav2-msgs, ros-humble-nav2-util, ros-humble-pluginlib, ros-humble-rclcpp, ros-humble-sensor-msgs, ros-humble-std-srvs, ros-humble-tf2, ros-humble-tf2-geometry-msgs, ros-humble-tf2-ros, ros-humble-ros-workspace
Description: amcl is a probabilistic localization system for a robot moving in 2D.
 It implements the adaptive (or KLD-sampling) Monte Carlo localization approach (as described by Dieter Fox), which uses a particle filter to track the pose of a robot against a known map. This node is derived, with thanks, from Andrew Howard's excellent 'amcl' Player driver.
