By combining GNSS and a high-accuracy self-developed IMU, the Zenmuse L2 achieves 4cm vertical accuracy and 5cm horizontal accuracy.
It’s ready for work as soon as the Zenmuse L2 is powered on and can collect both geospatial and RGB data from a 2.5km2 area in a single flight.
When used with Matrice 350 RTK and DJI Terra, the Zenmuse L2 offers a turnkey solution that is simple to use, lowering the operational threshold.
30% Detection Range Increase
The Zenmuse L2 can detect from 250 meters at 10% reflectivity and 100 klx, and up to 450 meters at 50% reflectivity and 0 klx. 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
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.
Real-time: 0.2°, post-processing: 0.05°
Real-time 0.05°, post-processing 0.025°
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
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 Types
Supports Waypoint, Area, and Linear Route types, for handling surveying tasks in a variety of environments.
Point Cloud LiveView
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 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 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.
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.