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Unitree 4D LiDAR L2 Ultra-Wide 4D LiDAR
Regular price
€0,00
Unitree 4D LiDAR L2 is an omnidirectional ultra-wide-angle bionic 4D LiDAR in Unitree's LiDAR accessories series. It provides 360° × 96° scanning, a 0.05 m near blind spot, and a scanning distance of 30 m at 90% reflectivity. It supports open-source SLAM using only L2 and its built-in IMU with the POINT-LIO algorithm. The sensor also supports ROS1, ROS2, Windows, open-source SLAM solutions, SDK documentation, and technical assistance.
Highlights
- 360° × 96° ultra-wide field of view.
- 30 m scanning distance at 90% reflectivity.
- 0.05 m nearby blind area.
- 64,000 points/s effective frequency.
- 2 cm measurement accuracy.
- Built-in IMU with 3-axis acceleration and 3-axis gyroscope.
- ENET UDP and TTL UART communication interfaces.
- Class 1 human eye safety according to IEC60825-1:2014.
- Supports ROS1, ROS2, Windows, open-source SLAM solutions, SDK documentation, and technical assistance.
Technical specifications
| Spec | Value |
| Official name | Unitree 4D LiDAR L2 |
| Model | L2 |
| Scanning distance | 30 m at 90% reflectivity |
| Field of view | 360° × 96° |
| Sampling frequency | 128,000 points/s |
| Effective frequency | 64,000 points/s |
| Circumferential scanning frequency | 5.55 Hz, customizable adjustment |
| Vertical scanning frequency | 216 Hz |
| Distance resolution | 4.5 mm |
| Measurement accuracy | ≤ 2.0 cm |
| Nearby blind area | 0.05 m |
| Non-repetitive scanning | Supported |
| Scanning method | Non-contact brushless rotating mirror scanning |
| 4D data | 3D position + 1D grayscale, supports 2D mode |
| IMU | 3-axis acceleration + 3-axis gyroscope |
| Communication interface | ENET UDP / TTL UART |
| Power | 10 W |
| Peak power note | Peak power can reach 13 W when ambient temperature is between -10°C and 30°C and L2 operates in self-heating mode |
| Size | 75 × 75 × 65 mm |
| Weight | 230 g |
| Operating environment | Indoor / outdoor |
| Anti-glare capability | >100 Klux |
| Human eye safety level | Class 1, IEC60825-1:2014 human eye safety |
| Open-source SLAM | Supports mapping using POINT-LIO algorithm with only L2 and its built-in IMU |
| Platform support | ROS1 / ROS2 / Windows |
| Technology | Laser TOF |
| Data reception processing CPU consumption | Extremely low |
Use cases
- Precise navigation and obstacle avoidance.
- Open-source SLAM mapping using POINT-LIO.
- Indoor whole-house dynamic scanning.
- Positioning and autonomous navigation of mobile robots.
- Robot functions such as whole-house cleaning and organization.
- Outdoor real-scene dynamic scanning.
- High-precision mapping under outdoor strong light conditions of 100 Klux.