3D SLAM Mapping & Positioning Box

LX-3D SLAM mapping and positioning box is a core software and hardware product developed by LSROBOT (LSLiDAR). With the 3D LiDAR as the main sensor, through the data fusion of LiDAR, IMU, odometer, GPS and other types of sensors, and together with high-performance processor, it achieves the mapping and position matching of the operating environment. The product is also equipped with an Ethernet communication interface to meet the user’s precise positioning needs in various operating scenarios.

Product Parameters

Hardware Configuration	IPC Platform	IPC Processor	Sensor data acquisition and processing, mapping and positioning computing power calculation
	LiDAR	C16	C16 Multi-line LiDAR with wide detection range and high performance (Can be adapted to other types of LiDAR)
	Supporting Positioning Sensor	IMU	Fusion Positioning Supporting
	Supporting Positioning Sensor	Odometer	Fusion Positioning Supporting (Optional)
	Supporting Positioning Sensor	GPS	Outdoor Fusion Positioning Supporting (Optional)
Product Function	Mapping	· Use C16 LiDAR to complete 3D scene map construction;
		· 3D mapping area reaches million-square-meter scale (requiring an industrial processor with 32GB memory, implemented through expansion);
		· The resolution of the map construction grid is 5 cm;
		· When the mobile obstacle accounts for no more than 10% of the map area, the map building function can be realized;
		· Forced closed-loop function based on global map information matching algorithm;
		· Global initialization function (risk: similar scene may cause positioning error).
	Positioning	· In indoor scenarios, the average positioning accuracy is within 2 cm, and the task-point positioning accuracy is within 1 cm;
		· In large outdoor scenes, the average positioning accuracy is within 3 cm, and the task-point positioning accuracy is within 2 cm;
		· Maintain stable positioning accuracy under the condition that the environmental change is no more than 30%.
Input & Output	Input	· LiDAR raw data, IMU attitude information and odometer auxiliary information (optional) and GPS information (Optional).
	Output	· Final output: Device Positioning Information (x,y,z,roll,pitch,yaw).
		· Final output: Device Positioning Information (x,y,z,roll,pitch,yaw).
		· Intermediate output: LiDAR point cloud data, point cloud matching score, updated pose after loop closure, and sensor connection status, etc.

Unmanned Handling Equipment Intelligent Hardware

LSROBOT (LSLiDAR)’s intelligent hardware covers high-performance LiDAR, LiDAR positioning boxes, collision warning systems, and 3D SLAM unmanned forklift/AMR domain controllers. From perception, positioning and navigation, collision warning to overall vehicle control, these products comprehensively address the core functional needs of intelligent handling equipments. They enable rapid integration for manufacturers of unmanned mobile devices or forklift OEMs, helping them quickly develop efficient, stable, and safe unmanned mobile equipment.