Integrated LiDAR Solution

Backed by its powerful hardware, the L2 can enable precise scanning of complex subjects within an extended range and faster point cloud acquisition. During operations, users can preview, play back, and process point cloud models on-site, with job quality reports generated by DJI Terra, providing a simple and comprehensive solution to improve overall efficiency. This allows users to achieve high-precision point cloud results with one-stop post-processing.

High level precision

By combining GNSS and a self-developed high-precision IMU, this solution achieves a vertical accuracy of 4cm and a horizontal accuracy of 5cm. 1

Exceptional efficiency

It is ready to operate as soon as it is turned on and can collect both geospatial and RGB data from an area of ​​2.5 square kilometers in a single flight. 2

Intuitive operation

When combined with the Matrice 350 RTK and DJI Terra, L2 offers an easy-to-use turnkey solution, lowering the operational threshold.

Frame-based LiDAR

Increase 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 The typical operating altitude now extends up to 120 meters, greatly improving safety and operational efficiency.

Smaller laser points, denser point clouds

With a small spot size of 4×12 cm at 100 m, only one-fifth that of the L1, the L2 not only detects smaller objects in more detail, but can also penetrate denser vegetation, generating more accurate Digital Elevation Models (DEMs).

Supports 5 returns

In densely vegetated areas, L2 can capture more points of the ground under the foliage.

Effective point cloud speed: 240,000 points/s

In both single and multiple return modes, the L2 can reach 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, providing flexibility to users according to their task needs. In repetitive scanning mode, L2 LiDAR can obtain more uniform and precise point clouds, while meeting the requirements of high-precision mapping. In non-repetitive scanning mode, it provides deeper penetration for more structural information, making it suitable for power line inspection, forest survey and other scenarios.

Frame-based design

Frame-based design ensures effective point cloud data rate up to 100%. Combined with a three-axis gimbal, it offers more possibilities for scenario detection.

High precision IMU system

Improved accuracy

The self-developed high-precision IMU system, combined with the drone's RTK positioning system for data fusion during post-processing, provides L2 with access to highly accurate information on absolute position, velocity and attitude. In addition, the IMU system's greater environmental adaptability 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 IMU system performance has been significantly improved and is ready to use the moment it is powered on. In addition, the companion drone is ready to start operations immediately once the RTK is in FIX state, providing 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 needed, the RGB camera can still take photos and 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 side-by-side display, presenting operational results intuitively. Activating the RNG (Laser Rangefinder) provides 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 point cloud model 7 can be directly displayed in the album. 3D point cloud models from multiple flights can also be merged, enabling on-site decision making regarding operational quality.

Automatically generated activity
Quality Report

After collecting point cloud data, the DJI Pilot 2 app will automatically generate a Job Quality Report 8 so operators can check operational results in real time and on-site, making field work more responsive and worry-free.

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 3D point cloud model in a standard format with just one click after calculating the point cloud trajectory and optimizing accuracy. After classifying the ground point, using the ground point type, a DEM can be generated. The quality of the point cloud can be analyzed with the Accuracy Check and Verification function.

Application scenarios

In coordination with DJI Enterprise and DJI Terra flight platforms, the Zenmuse L2 can be applied to land surveying and mapping, electricity, forestry, and infrastructure management, as well as other scenarios.

Notes

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 Aerial Route to plan the flight path (with Calibrate IMU enabled). Using Repetitive Scan with RTK in FIX state. Relative altitude was set to 150 m, flight speed to 15 m/s, gimbal pitch 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 conforming 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 disabled.

3. The data presented are typical values. Measured using a flat target with dimensions larger than the laser beam diameter, perpendicular incidence angle and atmospheric visibility of 23 km. In low-light environments, laser beams can achieve the optimum detection range. If a laser beam hits more than one target, the total power of the laser transmitter is divided and the achievable range is reduced. The maximum detection range is 500 m.

4. After powering on, the IMU does not need to warm up; however, users need to wait until the RTK drone is 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 Aerial Route to plan the flight path (with Calibrate IMU enabled). RTK in FIX state. Relative altitude was set to 150 m, flight speed to 15 m/s, gimbal pitch 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 for waypoints, areas and linear activities.