FAQ

Currently, the Power Line Follow feature is supported only when the Zenmuse L2 is mounted on the Matrice 350 RTK. Support for the Matrice 300 RTK will be available soon. Please stay tuned for official updates.

The Power Line Follow feature of the Zenmuse L2 is designed for transmission and distribution lines with voltage levels of 10 kV and above. However, it cannot guarantee effective recognition for low-voltage lines, such as those at 400 V, or communication and broadcasting cables.

To ensure flight safety, it is recommended to install the CSM Radar on the flight platform and enable Horizontal Radar Obstacle Avoidance in the DJI Pilot 2 app.

During power line follow tasks, ensure flight safety and verify that the aircraft is correctly following the power line. It is recommended to continuously monitor the FPV live view to identify potential risks such as intersecting lines. Additionally, use the point cloud and visible light views from the Zenmuse L2 to verify the accuracy of the power line being followed.

The performance of power line recognition and following may be compromised under the following scenarios:
1. Insulated lines.
2. Tree canopies that are too close to or even obstructing the lines.
3. Dense distribution of multiple power lines, such as in substation entry and exit lines.
4. Complex intersections between power lines and other cables.
In these situations, while ensuring flight safety, you can attempt to lower the power line follow altitude and speed to improve recognition and following performance.

To enhance the accuracy of line recognition at the beginning of a power line follow task, you can take the following measures:
1. Start the task from the transmission tower. This can significantly improve recognition accuracy, especially in scenarios with densely distributed parallel power lines. Specifically, position the flight platform and adjust the gimbal angle so that the top and upper part of the transmission tower are centered and toward the bottom of the camera view. Then, configure the parameters and initiate the power line follow task.
2. While ensuring safety, lower the power line follow altitude to get closer to the power lines and transmission towers.

It is recommended to perform an IMU calibration at both the beginning and end of the power line follow task. There is no need to specifically perform IMU calibrations during the power line follow task, as the acceleration and deceleration movements of the flight platform can also serve as IMU calibrations to some extent.

During a power line follow task, the app uses AR projection to display the current power line being followed, assisting users in determining the current power line and flight direction. The AR projection may occasionally deviate from or extend beyond the edges of the power lines, but such discrepancies do not affect the quality of the modeling.

At complex branching points (e.g., low-voltage lines, trees, streetlight poles), the flight platform continuously recognizes and assesses the surrounding environment. However, recognition of interfering objects may be inconsistent. Incorrect recognition results are discarded, and their corresponding numbers are no longer included, which is why the final branch numbering is not sequential.

Zenmuse L2 can collect data covering an area of up to 2.5 km² in a single flight.

^{Measured when Zenmuse L2 is mounted on Matrice 350 RTK with a flight speed of 15 m/s, flight altitude of 150 m, side overlap rate of 20%, Calibrate IMU enabled, Elevation Optimization turned off, and terrain follow turned off.}

Zenmuse L2 can be widely used in multiple scenarios including topographic surveying and mapping, power line modeling, forestry management, surveying measurement, and more.

An SD card with a sequential writing speed of 50 MB/s or above and UHS-I Speed Grade 3 rating or above; Max capacity: 256 GB.
Lexar 1066x 64GB U3 A2 V30 microSDXC
Lexar 1066x 128GB U3 A2 V30 microSDXC
Kingston Canvas Go! Plus 128GB U3 A2 V30 microSDXC
Lexar 1066x 256GB U3 A2 V30 microSDXC

During the collection of original point cloud data, Zenmuse L2 can generate and display a real-time point cloud model in the DJI Pilot 2 app processed with sparse resolution. Four coloring modes are supported, including reflectivity, height, distance and RGB. When viewing models in the album on the remote controller, you can rotate, drag, zoom, quickly switch the perspective, and re-center the view.

The L2 currently supports Waypoint Route, Area Route and Linear Route flight tasks.

No warm-up is required. Once the aircraft’s RTK is in the FIX status, it can take off and operate.

To ensure the accuracy of the collected data, Calibrate IMU needs to be enabled. Before executing the flight task, please enable Calibrate IMU. Before manual flight, you can tap Calibrate before the operation to manually trigger the calibration. During the operation, manually trigger the IMU calibration again based on the countdown prompt.

The Task Quality Report records the effective data duration of the LiDAR, the camera, and the IMU module. Operators can judge the validity of data collection based on the status of each module.

CLC (camera LiDAR calibration file)
CLI (LiDAR IMU calibration file)
LDR (LiDAR data)
RTK (RTK data of main antenna)
RTL (compensation data of RTK pole)
RTS (RTK data of auxiliary antenna)
RTB (base station RTCM data)
IMU (IMU raw data)
SIG (PPK signature file)
LDRT (point cloud file for playback on the app)
RPT (point cloud quality report)
RPOS (real-time POS solution data)
JPG (photos taken during flight)

In the FIX state of RTK, there is no difference in accuracy between the two.

Yes. Operators can view the current point cloud collection on the real-time point cloud display, and also quickly preview the recorded point cloud 3D model. After the operation is completed, you can download and view the point cloud 3D model in the library, and also perform operations such as merging 3D point cloud models of multiple flights.

^{Operations like model playback and merging need to be performed when the aircraft and Zenmuse L2 are connected.}

It is not a 1:1 match. Both the liveview and the playback of the 3D point cloud models are processed with sparse representation. In terms of the number of point clouds and accuracy, it is different from the model rebuilt in DJI Terra.

Launch DJI Terra to create a new "LiDAR Point Cloud" task. Follow the instructions to import the data from the SD card into DJI Terra and complete the related settings, and you can initiate high-precision modeling.

Point cloud formats: PNTS, LAS, PLY, PCD, S3MB
Trajectory formats: sbet.out, sbet.txt

1. Ground point classification;
2. Output digital elevation model (DEM);
3. A new Accuracy Control and Check function that supports local coordinate system, to ensure the results reach surveying and mapping accuracy;
4. Optimization of the point cloud thickness between the flight strips, making it thinner and more consistent;
5. More comprehensive point cloud quality report.

The reflectivity range is from 0 to 255, with 0 to 150 corresponding to 0 to 100% reflectivity under Lambertian diffuse reflectance, and 151 to 255 corresponding to full reflectance.

^{The reflectance value is related to multiple factors such as the surface topography of the geographical object, lighting conditions, and the incident angle, and cannot form a strict correspondence with the absolute reflectance.}