high-precision maps contain not only high-precision coordinates, but also accurate road shapes, and data on slope, curvature, heading, elevation, and roll data of each lane. regular navigation electronic maps depict roads, while high-precision maps not only depict roads, but also show how many lanes there are on each road and reflect the actual condition of the road. for example, if a real road widens in some places, the road data in the high-precision map will also widen, and if it narrows in some places due to merging, the high-precision map will do the same. after preprocessing with specialized software, the panoramic images and point cloud data collected are transferred to a high-precision mapping production platform for further processing using multi-source data software. based on the point cloud and image data, operators produce high-precision map data accurate to the centimeter level.

the collected data is submitted to the indoor personnel for data processing. the indoor team leader assigns the work tasks in the map production management system, and the operator starts the work after receiving the task. the data is automatically opened in the ame software, and the operator starts processing. in the editing software interface, automatic matching of the base map, real scene picture, and trajectory can be achieved, and the road and intersection properties corresponding to the street view images being browsed are automatically displayed. road shape editing: the base map corresponding road shape is automatically modified based on the manually selected street view trajectory shape and the road shape, points and nodes are manually edited. property editing: the base map road and intersection related property information is updated according to the current situation of the road shown in the street view image and the corresponding standard specifications to ensure the correctness of the road shape and property at the boundary of the map sheet.

the collected panoramic data can be used to build a database.during the production process of poi, use production line tools to verify and produce the data online. online access to panoramic images is used to collect the location and attribute data of poi and to check and supplement the attribute data of existing poi.

during the process of movement, the measurement system can quickly acquire high-precision point clouds and panoramic images of the surrounding objects, and create high-precision maps for unmanned driving and industry maps for smart cities. by using the ame editing tool software, up to dozens of traffic signs and identification data can be extracted with one click, and navigation guidance information can be synchronized. by comparing historical data, changes in advertising signs can be identified. based on laser point cloud automation classification and detection technology, automated extraction processing of related elements such as street lamps and trees can be achieved.