Integrated LiDAR solution
Supported by its powerful hardware, L2 can enable precise scanning of complex subjects within an extended range and faster point cloud acquisition. During operations, users can preview, playback and process point cloud models on site, with asset quality reports generated by DJI Terra, offering a simple and comprehensive solution to improve overall efficiency. This allows users to achieve high-precision point cloud results with unique post-processing.
High level precision
Combining GNSS and an in-house developed high-precision IMU, this solution achieves a vertical accuracy of 4 cm and a horizontal accuracy of 5 cm. 1
Exceptional efficiency
It is ready to work as soon as it is turned on and can collect both geospatial and RGB data from a 2.5 square km area in a single flight. 2
Intuitive operation
In combination with Matrice 350 RTK and DJI Terra, L2 offers a simple to use turnkey solution, lowering the operational threshold.
Frame-based LiDAR
Increased detection range by 30% 5
L2 can detect from 250 meters with 10% reflectivity and 100 klx, 3 and up to 450 meters with 50% reflectivity and 0 klx. 3 Typical operating altitude now extends up to 120 meters, significantly improving operational safety and efficiency.
Smaller laser dots, denser point clouds
With a small spot size of 4x12cm at 100m, just a fifth of that of L1, L2 not only detects smaller objects with more detail, but can also penetrate denser vegetation, generating digital elevation models (DEM ) more accurate.
Supports 5 returns
In densely vegetated areas, L2 can capture more points of the ground beneath the foliage.
Point cloud throughput: 240,000 points/s
In both single and multiple return modes, the L2 can achieve a maximum point cloud output rate of 240,000 points per second, enabling the acquisition of more point cloud data in a given time interval.
Two scanning modes
L2 supports two scanning modes, giving users flexibility based on their business needs. In the repetitive scanning mode, L2's LiDAR can achieve more uniform and precise point clouds, while meeting high-precision mapping requirements. In non-repetitive scanning mode, it offers deeper penetration for more structural information, making it suitable for power line inspection, forestry survey and other scenarios.
Frame-based design
The frame-based design ensures point cloud throughput of up to 100%. Together with a three-axis gimbal, it offers greater possibilities for scene detection.
High precision IMU system
Improved accuracy
The high-precision self-developed IMU system, combined with the drone's RTK positioning system for data fusion during post-processing, provides L2 with access to highly precise information on absolute position, speed and attitude. Furthermore, the increased environmental adaptability of the IMU system improves the operational reliability and accuracy of L2.
Yaw accuracy 6
Real time: 0.2°, post-processing: 0.05°
Pitch/roll accuracy 6
Real-time 0.05°, post-processing 0.025°
No IMU heating
The performance of the IMU system has been significantly improved and is ready for use the moment it is turned on. Additionally, the accompanying drone is ready to begin tasks immediately once the RTK is in FIX state, offering an optimized field experience.
RGB mapping camera
4/3 CMOS, mechanical shutter
The pixel size has been expanded to 3.3μm and the effective pixels now reach 20MP, resulting in a significant improvement in the overall image and more enriched true-color point cloud details. The minimum interval between photos has been reduced to 0.7 seconds. The mapping camera can count up to 200,000 shutters, further reducing operating costs. When point cloud collection is not necessary, the RGB camera can still take photos and record videos or collect images for visible light mapping.
Improved operating experience
Diversified flight
Route types
It supports waypoint, area and linear path types, to handle surveying tasks in a variety of environments.
Point cloud
Live
During operation, DJI Pilot 2 supports three display modes: RGB, point cloud, and point cloud/RGB tile display, presenting operational results intuitively. Activating the RNG (Laser Rangefinder) allows access to distance information between the LiDAR module and the object in the center of the FOV, improving flight safety. It also supports four real-time point cloud coloring modes: Reflectivity, Height, Distance and RGB.
Point cloud model
Reproduction and fusion
After the operation, the 3D model of the point cloud 7 can be directly viewed in the album. 3D point cloud models from multiple flights can also be merged, enabling on-site decision making regarding operational quality.
Automatically generated task
Quality report
After point cloud data is collected, the DJI Pilot 2 app will automatically generate a 8 task quality report so that operators can verify operational results in real time and on site, making field work more responsive and without worries.
PPK
Solution
It supports waypoint, area and linear path types, to handle surveying tasks in a variety of environments.
One-click processing
on DJI Terra
Get efficient and reliable one-stop post-processing when importing point cloud data into DJI Terra. Generate a standard-format 3D point cloud model with a single click after calculating the point cloud trajectory and optimizing accuracy. After ground point classification, using the ground point type, a DEM can be generated. The quality of the point cloud can be analyzed with the Accuracy Check and Verify function.
Application scenarios 
In coordination with DJI Enterprise and DJI Terra flight platforms, Zenmuse L2 can be applied to land surveying and mapping, electricity, forestry and infrastructure management, as well as other scenarios.
Note
1. Measured under the following conditions in a DJI lab environment: Zenmuse L2 mounted on a Matrice 350 RTK and powered on. Using DJI Pilot 2's Area Route to plan your flight route (with Calibrate IMU enabled). Using repetitive scanning with RTK in FIX state. The relative altitude was set to 150 m, the flight speed was set to 15 m/s, the gimbal inclination was set to -90°, and each straight segment of the flight path was less than 1500 m. The field contained objects with obvious angular features and used exposed hard ground control points that conformed to the diffuse reflection model. DJI Terra was used for post-processing with point cloud accuracy optimization 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.
2. Measured with Zenmuse L2 mounted on Matrice 350 RTK with a flight speed of 15 m/s, flight altitude of 150 m, lateral overlap rate of 20%, IMU calibration enabled, elevation optimization disabled and terrain tracking deactivated.
3. The data presented are typical values. Measured using a flat subject with dimensions larger than the laser beam diameter, perpendicular angle of incidence, and atmospheric visibility of 23 km. In low-light environments, laser beams can reach the optimal detection range. If a laser beam hits more than one subject, the total power of the laser transmitter is split and the achievable range is reduced. The maximum detection range is 500m.
4. After power on, the IMU does not need to warm up; however, users must wait for the RTK drone to be in the FIX state before it can fly and operate.
5. Calculated by comparing with Zenmuse L1.
6. Measured under the following conditions in a DJI lab environment: Zenmuse L2 mounted on a Matrice 350 RTK and powered on. Using DJI Pilot 2's Area Route to plan your flight route (with Calibrate IMU enabled). RTK in FIX state. The relative altitude was set to 150 m, the flight speed was set to 15 m/s, the gimbal inclination was set to -90°, and each straight segment of the flight path was less than 1500 m.
7. 3D models are processed using sparse representation.
8. Only supports generating quality reports of waypoints, areas and linear activities.
