Unmanned Vehicle Fusion Positioning Technology Based on “5G + Beidou” and 3D Point Cloud Image

Abstract

Abstract Unmanned vehicles need to know their location and direction information accurately to plan and navigate their paths. However, the positioning system is susceptible to interference from a variety of factors, which leads to increased positioning errors, thereby affecting the accuracy of unmanned vehicle positioning. An unmanned vehicle fusion positioning technology based on the "5G + Beidou" integrated positioning system was proposed. While using the "5G + Beidou" base station for positioning, the 3D point cloud image was fused, and the high-precision real-time positioning was carried out through the vehicle's autonomous navigation algorithm. This paper first analyzed the current situation and characteristics of GNSS technology and studied the key technologies and principles of the "5G + Beidou" integrated positioning system. Then, aiming at the difficulty of 5G base station deployment, the GNSS system parameter optimization scheme based on a multidimensional fusion structure was designed. Finally, in the experiment, it was verified that the fusion system could achieve higher precision positioning results compared with traditional single-dimensional GNSS and multi-dimensional GNSS. The technical advantages of "5G + Beidou" were used for data fusion processing of unmanned vehicles, and a positioning method based on the combination of 3D point cloud image and high-precision map was proposed. Through some experiments, it was concluded that the fusion location method could control the error below 0.1, which showed the accuracy of the fusion location.