High-Precision Aerial LiDAR System
Powerful Range, Elevated Precision
Zenmuse L2 integrates frame LiDAR, a 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.
High Precision
Vertical Accuracy: 4 cm;
Horizontal Accuracy: 5 cm [1]
Exceptional Efficiency
2.5 km2 covered in a single flight [2]
Superior Penetration
Smaller laser spots, denser point clouds
![Detection Range [3]](https://www-cdn.djiits.com/dps/ef2e339668e6688e97755a8a907abd01.svg){kind=icon}
Detection Range [3]
250m @10% reflectivity, 100klx
450m @50% reflectivity, 0klx
5 Returns
![Turnkey Solution [4]](https://www-cdn.djiits.com/dps/ca28b4616c5ead54571515a928f14b42.svg){kind=icon}
Turnkey Solution [4]
Point Cloud LiveView
One-Click Processing on DJI Terra
Integrated LiDAR Solution
Supported by its powerful hardware, L2 can allow for a precise scan 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 Task Quality Reports generated by DJI Terra, offering a simple, one-stop solution to improve overall efficiency. This enables users to achieve high-precision point cloud results with one-stop post-processing.
High-Level Precision
By combining GNSS and a high-accuracy self-developed IMU, this solution achieves 4cm vertical accuracy and 5cm horizontal accuracy. [1]
Exceptional Efficiency
It’s ready for work as soon as it’s powered on and can collect both geospatial and RGB data from a 2.5km2 area in a single flight. [2]
Intuitive Operation
In conjunction with Matrice 350 RTK and DJI Terra, L2 offers a turnkey solution that is simple to use, lowering the operational threshold.
Frame-Based LiDAR
30% Detection Range Increase [5]
L2 can detect from 250 meters at 10% reflectivity and 100 klx, [3] and up to 450 meters at 50% reflectivity and 0 klx. [3] The typical operational altitude now extends up to 120 meters, notably enhancing operational safety and efficiency.
Smaller Laser Spots, Denser Point Clouds
With a reduced spot size of 4×12 cm @100m, only a fifth of that of L1, L2 not only detects smaller objects with more details, but can also penetrate denser vegetation, generating more accurate digital elevation models (DEM).
Supports 5 Returns
In densely vegetated areas, L2 can capture more ground points beneath the foliage.
Effective Point Cloud Rate: 240,000 pts/s
In both single and multiple return modes, L2 can reach a max point cloud emission rate of 240,000 points per second, allowing the acquisition of more point cloud data in a given time frame.
Two Scanning Modes
L2 supports two scanning modes, offering flexibility for users based on their task demands. In repetitive scanning mode, L2's LiDAR can achieve more uniform and accurate 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 surveying, and other scenarios.
Frame-based Design
The frame-based design results in an effective point cloud data rate of up to 100%. Together with a three-axis gimbal, it brings more possibilities to surveying scenarios.
High-Accuracy IMU System
No IMU Warm-up
The performance of the IMU system has been significantly enhanced, and it is ready for use the moment it's powered on. And, the accompanying drone is ready to begin tasks immediately once the RTK is in FIX status, delivering an optimized in-the-field experience.
RGB Mapping Camera
4/3 CMOS, Mechanical Shutter
Pixel size has been enlarged to 3.3 μm, and effective pixels now reach 20 MP, resulting in a significant improvement in overall imaging, as well as more enriched true-color point cloud details. The minimum photo interval has been reduced to 0.7 seconds. The mapping camera has a shutter count of up to 200,000 times, further reducing operational costs. When point cloud collection is not needed, the RGB camera can still take photos and videos, or collect images for visible light mapping.
Enhanced Operational Experience
Zenmuse L2's intelligent recognition algorithm supports identification, tracking, and junction analysis for transmission and distribution lines, enabling semi-automatic flight and data collection.
Supports Waypoint, Area, and Linear Route types, for handling surveying tasks in a variety of environments.
During operation, DJI Pilot 2 supports three display modes - RGB, point cloud, and point cloud/RGB side-by-side display, presenting operational results in an intuitive way. Activating RNG (Laser Rangefinder) enables access to the distance information between the LiDAR module and the object in the center of the FOV, enhancing flight safety. It also supports four real-time point cloud coloring modes - Reflectivity, Height, Distance, and RGB.
After the operation, the 3D point cloud model [7] can be viewed directly in the album. 3D Point cloud models of multiple flights can also be merged, enabling on-site decision-making regarding operational quality.
After point cloud data collection, the DJI Pilot 2 app will automatically generate a Task Quality Report [8] so that operators can check operational results in real-time and on-site, making fieldwork more responsive and worry-free.
In complex operational environments, users can set up RTK base stations before the operation to preemptively avoid the loss of RTK data due to interference, video transmission disconnection, or other issues. After the operation, import original files into DJI Terra to use the PPK (post-processing kinematic) process to rebuild high-precision models.
Application Scenarios
In coordination with DJI Enterprise flight platforms and DJI Terra, Zenmuse L2 can be applied to land surveying and mapping, electricity, forestry, and infrastructure management, as well as other scenarios.
Land Surveying and Mapping
Electricity management
Forestry management
Infrastructure management
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1. Measured under the following conditions in a DJI laboratory environment: Zenmuse L2 mounted on a Matrice 350 RTK and powered on. Using DJI Pilot 2’s Area Route to plan the flight route (with Calibrate IMU enabled). Using repetitive scanning with the RTK in 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 checkpoints 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.
2. Measured with Zenmuse L2 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.
3. The data presented are typical values. Measured using a flat subject with a size larger than the laser beam diameter, a perpendicular angle of incidence, and an atmospheric visibility of 23 km. In low-light environments, the laser beams can achieve the optimal detection range. If a laser beam hits more than one subject, the total laser transmitter power is split and the achievable range is reduced. The maximum detection range is 500 m.
4. After power is turned on, the IMU doesn't require warm-up; however, users must wait for the drone RTK to be in the FIX status before it can fly and work.
5. Calculated by comparing with Zenmuse L1.
6. 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.
7. 3D models are processed by sparse representation.
8. Only supports the generation of Waypoint, Area, and Linear Task Quality Reports.