谷歌Cartographer ROS初探

谷歌在10月6日的开源其SLAM算法cartography。非常有意思。其官网上给了相当多的说明。

在此把链接提供一下。

https://google-cartographer-ros.readthedocs.io/en/latest/

说的很明白，就不一一赘述了。

安装流程如下，step by step就ok

# Install wstool and rosdep.
sudo apt-get update
sudo apt-get install -y python-wstool python-rosdep ninja-build

# Create a new workspace in 'catkin_ws'.
mkdir catkin_ws
cd catkin_ws
wstool init src

# Merge the cartographer_ros.rosinstall file and fetch code for dependencies.
wstool merge -t src https://raw.githubusercontent.com/googlecartographer/cartographer_ros/master/cartographer_ros.rosinstall
wstool update -t src

# Install deb dependencies.
rosdep update
rosdep install --from-paths src --ignore-src --rosdistro=${ROS_DISTRO} -y

# Build and install.
catkin_make_isolated --install --use-ninja
source install_isolated/setup.bash

同时谷歌呢也提供了一些demo，在riviz环境中的仿真

# Download the 2D backpack example bag.
wget -P ~/Downloads https://storage.googleapis.com/cartographer-public-data/bags/backpack_2d/cartographer_paper_deutsches_museum.bag

# Launch the 2D backpack demo.
roslaunch cartographer_ros demo_backpack_2d.launch bag_filename:=${HOME}/Downloads/cartographer_paper_deutsches_museum.bag

# Download the 3D backpack example bag.
wget -P ~/Downloads https://storage.googleapis.com/cartographer-public-data/bags/backpack_3d/cartographer_3d_deutsches_museum.bag

# Launch the 3D backpack demo.
roslaunch cartographer_ros demo_backpack_3d.launch bag_filename:=${HOME}/Downloads/cartographer_3d_deutsches_museum.bag

# Download the Revo LDS example bag.
wget -P ~/Downloads https://storage.googleapis.com/cartographer-public-data/bags/revo_lds/cartographer_paper_revo_lds.bag

# Launch the Revo LDS demo.
roslaunch cartographer_ros demo_revo_lds.launch bag_filename:=${HOME}/Downloads/cartographer_paper_revo_lds.bag

# Download the PR2 example bag.
wget -P ~/Downloads https://storage.googleapis.com/cartographer-public-data/bags/pr2/2011-09-15-08-32-46.bag

# Launch the PR2 demo.
roslaunch cartographer_ros demo_pr2.launch bag_filename:=${HOME}/Downloads/2011-09-15-08-32-46.bag

我试了一下2D的demo，效果还不错

其github也有源码说明

https://github.com/googlecartographer

同时提供了turtlbot的仿真。

算法

W. Hess, D. Kohler, H. Rapp, and D. Andor, Real-Time Loop Closure in 2D LIDAR SLAM, in Robotics and Automation (ICRA), 2016 IEEE International Conference on. IEEE, 2016. pp. 1271–1278.