DJI Zenmuse L2 - Lidar
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Mallinumero: DJI-Zen-L2
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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.
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.
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.
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.
Improved Accuracy
The high-accuracy self-developed IMU system, combined with the drone’s RTK positioning system for data fusion during post-processing, gives L2 access to highly accurate absolute position, speed, and attitude information. In addition, the IMU system’s enhanced environmental adaptability improves the operational reliability and precision of L2.
Yaw Accuracy
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.
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.
Diverse Flight Route Planning
Supports Waypoint, Area, and Linear Route types, for handling surveying tasks in a variety of environments.
Point Cloud Live View
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.
Point Cloud Model Playback and Merging
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.
Auto-Generated Task Quality Report
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.
PPK Solution
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.
One-Click Processing on DJI Terra
Achieve efficient and reliable one-stop post-processing when importing point cloud data into DJI Terra. Generate a standard-format 3D point cloud model with just a click after point cloud trajectory calculation and accuracy optimization. Upon ground point classification, using Ground Point Type, a DEM can be output. Point cloud quality can be analyzed with the Accuracy Control and Check function.
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.
What is the protection level of the Zenmuse L2?
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.
What aircraft is Zenmuse L2 compatible with? Which gimbal interface can it be mounted on?
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).
What is the Field of View (FOV) of Zenmuse L2's LiDAR?
What is the maximum detection range of Zenmuse L2?
Detection range:
How many returns does Zenmuse L2 support?
Zenmuse L2 supports five types of returns: Single return (strongest echo), dual returns, triple returns, quad returns, and penta returns.
What is the point cloud rate of Zenmuse L2？
How many scanning modes does Zenmuse L2 have? In what scenarios do they apply?
Zenmuse L2 has two scanning modes: non-repetitive scanning mode and repetitive scanning mode
In repetitive scanning mode, LiDAR can achieve more uniform and accurate scanning, meeting high-precision mapping requirements.
In non-repetitive scanning mode, it offers stronger penetration, gathering more structural information, making it suitable for power line inspection, forestry surveying, and other scenarios.
What is the IMU accuracy of Zenmuse L2?
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.
What is L2's RGB camera used for?
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
What is the surveying and mapping accuracy of Zenmuse L2?
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.
What CMOS size is Zenmuse L2’s RGB camera? And what is its pixel size?
The RGB camera uses a 4/3 CMOS, and the pixel size is 3.3 × 3.3 μm.
What improvements does Zenmuse L2 have compared to the previous generation?
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).