Research on LOAM algorithm in terrain reconnaissance of robot

Abstract

This study investigates how the Lidar Odometer and Mapping (LOAM) algorithm, a kind of optimized SLAM algorithm, help robots build the terrain accurately. Some experiment results from different researches and papers were used to prove that the LOAM algorithm can successfully construct the map in 3D and make the researchers clear about complex terrain and make the robots move autonomously and safely without encountering the obstacles. In this paper, we refer other researchers papers to support our viewpoints and make it clear to convey the LOAM algorithm how to run and the principle of Odometry and Mapping process. We do not go into too much details about the content of the code, our main goal is to introduce and explain the advantages and disadvantages of the algorithm, and its efficiency and accuracy in creating maps. Our analysis showed that the LOAM algorithm can build topographic maps to achieve the goal of automating robot operation. We conclude that LOAM algorithm is an effective tool to help robots run autonomously and scan terrain.