基于ROS的机器人建图与导航仿真python源码+文档说明+安装教程

# rf2o_laser_odometry Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. RF2O is a fast and precise method to estimate the planar motion of a lidar from consecutive range scans. For every scanned point we formulate the range flow constraint equation in terms of the sensor velocity, and minimize a robust function of the resulting geometric constraints to obtain the motion estimate. Conversely to traditional approaches, this method does not search for correspondences but performs dense scan alignment based on the scan gradients, in the fashion of dense 3D visual odometry. Its very low computational cost (0.9 milliseconds on a single CPU core) together whit its high precission, makes RF2O a suitable method for those robotic applications that require planar odometry. For full description of the algorithm, please refer to: **Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016** Available at: http://mapir.isa.uma.es/work/rf2o