DJI Intelligent Map has been launched V4.2.0 version update: new functions such as cloud visible light fusion modeling of substation sites, error data upload, etc.

According to news from this site on July 25, DJI Maps has been updated to version V4.2.0, which adds support for cloud visible light fusion modeling of substation sites. The update details of this website are as follows: Version number 4.2.0 has a new function that supports the fusion and reconstruction of three-dimensional mesh models from point clouds and visible light photos collected by Zenmuse L2 (substation modeling mode needs to be selected), which can generate a more complete and detailed wire network. Grid to meet the modeling needs of more power scenarios. Support visible light reconstruction task point cloud results to classify ground points and generate a variety of terrain results, such as DEM, point grid, TIN and contours. Support error data upload. This function is currently in During the testing phase, only the mainland China surveying and mapping version and above are available for paid user experience. Free licenses and offline licenses do not support error data upload. Support for fixing issues with some coordinate systems in the United States and South Korea. In agricultural applications, manual adjustment of waypoints resulted in waypoint errors. The distance is less than 1m and the route cannot be executed. Fixed the problem that the quality report unit is wrong when the coordinate system of the reconstruction result is imperial units. Fixed the problem of abnormal scale after the grid line scaling of the lidar point cloud reconstruction task profile function. Optimization of the lidar point cloud task. The point cloud smoothing function improves the point cloud smoothing effect and retains more point cloud details. Optimizes the lidar self-calibration effect. It supports correcting larger external parameter errors and optimizes the point cloud coloring effect. After turning on the 3D grid model, point cloud coloring Higher accuracy and clearer coloring According to reports, in the substation scene, DJI Maps supports free fusion and reconstruction of point cloud data collected by Zenmuse L2 and visible light photos to obtain a three-dimensional model of the substation.

Users can use Zenmuse L2 "Radar Modeling-Five-Way Incline Route" for field data collection, and use DJI's point cloud visible light fusion modeling function for substation modeling.

Officially stated that

1. DJI Mavic 3E,
2. Zenmuse P1 and other devices are now used to obtain photo data,

and perform three-dimensional reconstruction through DJI Maps. After generating encrypted point cloud text data, it can gradually Get common terrain description files.

In addition, the three-dimensional reconstructed visible light and electric cloud classification function adopts an intelligent classification algorithm. Compared with the radar method of obtaining ground points, the cost has been reduced.

Based on the ground points obtained by classification, DJI Map supports the generation of
DEM, contours, point grid and TIN data. Users can connect data to more third-party software platforms for processing and use. In other aspects, DJI Map has added new data and log upload functions. When encountering error data, users can upload original data and log files to the cloud, and generate abnormal data order numbers and QR codes; upgraded point cloud smoothing algorithm , optimize the problem of increased point cloud thickness and errors caused by factors such as laser scanner random errors and route stitching errors, and reduce the problem of over-smoothing of small structures.

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