Research on Outdoor Mobile Robot Localization and Mapping Algorithm Based on Multi-Sensor Fusion

An accurate localization and mapping method based on multi-sensor data fusion is proposed for mobile robots in outdoor open scenes. By collecting and pre-processing multi-sensor data, combining with LIO-SAM to build 3D point cloud maps and optimizing point cloud maps, it helps mobile robots to complete high-precision localization and mapping in outdoor environment. Finally, the mobile robot platform is built and combined with the robot operating system to verify the effectiveness and accuracy of the scheme in outdoor environments.