Research and Simulation of Autonomous Navigation Method for Unmanned Vehicle Based on ROS

In recent years, with the advancement of science and technology, research on unmanned vehicle-related technologies has become a major focus of research at home and abroad, and related research results have gradually been applied to various industries. In order to achieve the purpose of autonomous navigation for unmanned vehicles, synchronous positioning and map construction and path planning have become problems to be solved urgently. This article is oriented to indoor services, based on the open-source robot operating system (ROS) as the development platform, which combines mapping and path planning algorithms to realizes autonomous navigation. Finally, a simulation experiment was carried out by using the 3D physics simulation software Gazebo in ROS to verify the feasibility of the algorithm.