Autonomous Navigation of Autonomous Vehicles Based on Laser SLAM

In traditional indoor application scenarios, GPS positioning and RTK (Real-Time Kinematic) technology are limited and difficult to apply effectively indoors. The aim of this project is to achieve autonomous navigation and driving for an existing mid-sized autonomous vehicle, without relying on GPS positioning signals or other indoor active positioning systems. This should be achieved by using ROS driver packages to read sensor data and leveraging existing laser SLAM (Simultaneous Localization and Mapping) technology for indoor navigation and autonomous driving.

Expected Outcome

High accuracy of navigation path planning, coverage completion rate of task points, minimize travel time, and the obstacle avoidance capability.