Lidar technology is widely used in fields such as autonomous driving, robot navigation, and environmental scanning. According to the number of laser beams and scanning methods, laser radar can be divided intoSingle line LiDARandMulti line LiDARThe two differ in terms of working principles, application scenarios, and performance. The following are their main differences:
1. Number of laser beams
Single line LiDARAs the name suggests, a single line LiDAR emits only one laser beam, which rotates and scans a horizontal plane of the surrounding environment to obtain distance information of objects. Each laser scan only forms a single point, and the measured data is relatively simple.
Multi line LiDARMulti line LiDAR has multiple laser emission lines (usually 16, 32, 64, 128 lines, etc.). These laser beams can simultaneously scan the environment at different angles, obtaining more point cloud data and providing more detailed spatial information within one scanning cycle.
2. Scanning range
Single line LiDARDue to the fact that there is only one laser beam, its scanning range is relatively small, and it can usually only obtain single plane data of the environment, which is suitable for some distance measurement applications that do not require excessive precision or complexity.
Multi line LiDARBy working with multiple laser beams simultaneously, multi line LiDAR can scan over a larger vertical angle range and obtain more spatial data. Therefore, it is advantageous to provide more accurate environmental models, especially in complex environments.
3. Measurement accuracy and resolution
Single line LiDARDue to its small number of laser beams and low data resolution, it is suitable for some simple and low-cost applications, especially those tasks that do not require very high precision.
Multi line LiDARProvide higher measurement accuracy and spatial resolution to obtain more detailed environmental information. Suitable for complex applications that require precise recognition of object location and details, such as autonomous driving, building scanning, 3D modeling, etc.
4. Cost
Single line LiDARDue to its simple structure and low cost, it is suitable for scenarios with limited budget and low precision requirements, such as basic obstacle detection and simple automation equipment.
Multi line LiDARDue to the inclusion of multiple laser beams and more complex scanning systems, multi line LiDAR has a higher cost, but it provides much higher accuracy and data quality than single line LiDAR, making it suitable for high-precision applications.
5. Application scenarios
Single line LiDAR：
Mainly used forThe Initial Stage of Autonomous DrivingSuch as environmental perception, obstacle detection, etc.
existIndustrial Automation、warehouse managementIt is also widely used in various fields to achieve simple distance measurement and obstacle avoidance functions.
apply toLow cost robotsSuch as service robots, floor cleaning robots, etc.
Multi line LiDAR：
Widely used inAutonomous drivingIn the field, especially for systems that require high-precision map construction and obstacle detection.
exist3d modeling、Building SurveyingIn fields such as Geographic Information Systems (GIS), it can provide higher point cloud density and accuracy.
Commonly used forindustrial robotEnvironmental perception and navigation of unmanned aerial vehicles (UAVs).
6. Data processing
Single line LiDARDue to the limited number of data points, processing is relatively simple and requires lower computing power.
Multi line LiDARThe data volume is larger, requiring higher computing power to process and analyze these complex point cloud data in real time.
Summary:
Single line LiDAR: It is suitable for applications with limited budget, low precision requirements and simple working environment, such as low-cost robots, basic auto drive system systems, etc.
Multi line LiDARSuitable for applications that require high precision, complex environment perception, and high-density point clouds, such as high-end autonomous driving, 3D modeling, industrial measurement, etc.
The choice of which type of LiDAR to use depends on specific application scenarios, accuracy requirements, cost budget, and real-time data processing capabilities.
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