Design of Unmanned System Integrated Navigation Algorithm Simulation Demonstration System

In order to address the issues of poor demonstration effects and difficulties in analyzing algorithms effectiveness in real-time during the research process of navigation algorithms for unmanned systems, and to facilitate the design of navigation algorithms and improve the professionalism of their demonstrations, this paper proposes a method for designing an unmanned system integrated navigation simulation demonstration system. Firstly, the carrier motion simulation scene is designed based on the Gazebo simulation platform to generate the necessary navigation parameters in real-time. Secondly, a visual display interface is designed based on ROS and Qt, which displays the carrier's navigation parameters, motion trajectories, and other information in real-time by publishing and subscribing to related topics. In addition, the system has extensible functionality to support secondary development according to user needs. The system has been validated to have good demonstration effects and is helpful for the research and demonstration of navigation algorithms for unmanned systems.

I. Introduction

In recent years, with the widespread application of intelligent technology, intelligent unmanned systems such as unmanned vehicles, drones and robots have also flourished. Navigation algorithm is one of the most important components of intelligent unmanned systems, which can provide the necessary navigation parameters for unmanned systems during motion and ensure their safe and stable movement. In order to evaluate the performance and feasibility of the navigation algorithms, researchers need to test the algorithms under corresponding conditions and environments. However, the implementation of algorithms in actual systems for verification features high cost and low efficiency [1]. Navigation simulation demonstration system can provide an efficient and low-cost demonstration verification method for navigation algorithm research, and support the evaluation of the performance and feasibility of navigation algorithms.