DJI LiDAR Scanner – Zenmuse L2

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Zenmuse L2 integrates frame LiDAR, a DJI self-developed high-accuracy IMU system, and a 4/3 CMOS RGB mapping camera, providing DJI flight platforms with more precise, efficient, and reliable geospatial data acquisition. When used with DJI Terra, it delivers a turnkey solution for 3D data collection and high-accuracy post-processing.

Introduction of DJI Zenmuse L2 LiDAR Scanner

Key Features of DJI L2 LiDAR

DJI L2 KEY FEATURES

DJI LiDAR - Zenmuse L2 Specs

FAQ About DJI LiDAR L2

System Performance

Zenmuse L2 achieves an IP54 rating according to the IEC60529 standard under controlled laboratory conditions. To ensure the highest levels of protection:
• Before installing, make sure that the interface and surface of the gimbal are dry;
• Before use, make sure that the gimbal is firmly installed on the drone and the SD card protective cap is clean, free of foreign objects, and closed;
• Before opening the SD card protective cap, wipe the surface of the drone clean.

The protection level will decrease over time due to normal device use and wear.

Zenmuse L2 is compatible with the Matrice 350 RTK and Matrice 300 RTK and only supports DJI RC Plus as the remote controller. Before using, please upgrade the firmware of the aircraft and remote controller to the latest version. To ensure mapping accuracy, make sure the L2 is mounted on a single downward gimbal connector with the cable connected to the right USB-C port (when facing the aircraft).

Repetitive scanning: Horizontal 70°, Vertical 3°
Non-repetitive scanning: Horizontal 70°, Vertical 75°

Detection range:
250m @10% reflectivity, 100 klx
450m @50% reflectivity, 0 klx
The recommended operating altitude is 30-150 m.

Zenmuse L2 supports five types of returns: Single return (strongest echo), dual returns, triple returns, quad returns, and penta returns.

Single return: max. 240,000 pts/s
Multiple returns: max. 1,200,000 pts/s

Yaw Accuracy: Real-time: 0.2°, Post-processing: 0.05°
Pitch/Roll Accuracy: Real-time 0.05°, Post-processing 0.025°
Horizontal Positioning Accuracy: 1 cm + 1 ppm (RTK FIX)
Vertical Positioning Accuracy: 1.5 cm+1 ppm (RTK FIX)

The yaw and pitch/roll accuracies were measured under the following conditions in a DJI laboratory environment: Zenmuse L2 mounted on a Matrice 350 RTK and powered up. Using DJI Pilot 2’s Area Route to plan the flight route (with Calibrate IMU enabled). RTK in the FIX status. The relative altitude was set to 150 m, flight speed to 15 m/s, gimbal pitch to -90°, and each straight segment of the flight route was less than 1500 m.

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When collecting point cloud data, the RGB camera can provide real-time color information for the data, and the photos taken can be used for reconstructing 2D RGB models. When there is no need to gather point cloud data, the RGB camera can take photos and videos, and collect images for reconstructing 2D or 3D RGB models

Horizontal accuracy: 5 cm
Vertical accuracy: 4 cm

Measured under the following conditions in a DJI laboratory environment: Zenmuse L2 mounted on a Matrice 350 RTK and powered up. Using DJI Pilot 2’s Area Route to plan the flight route (with Calibrate IMU enabled). Using repetitive scanning with the RTK in the FIX status. The relative altitude was set to 150 m, flight speed to 15 m/s, gimbal pitch to -90°, and each straight segment of the flight route was less than 1500 m. The field contained objects with obvious angular features, and used exposed hard ground check points that conformed to the diffuse reflection model. DJI Terra was used for post-processing with Optimize Point Cloud Accuracy enabled. Under the same conditions with Optimize Point Cloud Accuracy not enabled, the vertical accuracy is 4 cm and the horizontal accuracy is 8 cm.

The RGB camera uses a 4/3 CMOS, and the pixel size is 3.3 × 3.3 μm.

The performance of the LiDAR has improved to about 1/5 of L1’s spot size when the object or area is 100 m from the LiDAR. The LiDAR’s penetration ability has been significantly increased, and both its detection range and accuracy have improved. The pixel size of the RGB camera has increased by 89% compared to L1’s 2.4 × 2.4μm. The accuracy of the IMU has improved to 0.05° (real-time) and 0.025° (post-processing). The LiDAR supports Laser Rangefinder (RNG).

Field Data Collection

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.

Post-processing

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.