An Intelligent Logistics Navigation Device Based on SLAM Dual Radar

Abstract

This paper proposes a mapping and navigation algorithm for dual lidar under the ROS platform, and designs an autonomous navigation device based on SLAM lidar, inertial odometer wheel odometer and so on. As the most critical distance sensor, dual SLAM radar captures a full range of distance information. It uses advanced laser SLAM (Simultaneous Localization and Mapping) framework Cartographer, combined with multiple echo algorithms to achieve long-distance high-precision positioning and mapping reconstruction, based on the improved MRPT (MobileRobot Programming Toolkit) particle filter algorithm for navigation. It combines robots driven by industrial-grade safety motor to establish a complete intelligent navigation system, which can realize trackless autonomous navigation in the logistics industry.