LiDAR RoboSense RS-LiDAR-16

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Sku: LI001

Weight: 2000 g

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RS-LiDAR-16, launched by RoboSense, is the first of its kind in China, world leading 16-beam miniature LiDAR product.

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RS-LiDAR-16, launched by RoboSense, is the first of its kind in China, world leading 16-beam miniature LiDAR product.

Its main applications are in autonomous driving, robots environment perception and UAV mapping.

The compact housing of RS-LiDAR mounted with 16 laser/detector pairs rapidly spins and sends out high-frequency laser beams to continuously scan the Surrounding environment. Advanced digital signal processing and ranging algorithms calculate point cloud data and reflectivity of objects to enable machine to 'see' the world and providing reliable data for localization, navigation and obstacle avoidance.

 

 

Laser Channels ………… 16 Channels
Wavelength ………… 905 nm
Laser Class ………… class 1
Accuracy ………… ±2cm
Range ………… Up to 100m
Data Rate ………… 320,000pts/s
Field of View (Vertical) ………… +15.0° to -15.0° (30°)
Angular Resolution (Vertical) ………… 2.0º
Field of View (Horizontal) ………… 360º
Angular Resolution (Horizontal/Azimuth) ………… 5Hz: 0.09º 10Hz: 0.18º 20Hz: 0.36º
Imput Voltage ………… 9-32VDC
Power Consumption ………… 7.2w
Environmental Protection ………… IP67
Operating Temperature ………… -10°C to +60°C
Dimensions ………… 100mm Diameter X 107 mm Height
Weight ………… 0.6Kg(without Cabling)
Data Content ………… Spatial Coordinates/Reflectivity

 

 

Real-Time, High Data Rate

RS-LiDAR is designed with 16 powerful laser beams capable of continuous fast-speed scanning on an amazingly high data rate of 320,000 points/second.

Long Range, Better Resolution

Innovations on powerful laser heads and ultrafast digital signal processing technology enables an extended measurement range up to 100 meters.

Top Precision Captures the Last Detail

RS-LiDAR adopts cutting-edge digital signal processing technology and ranging algorithms, successfully meets the world top range accuracy of 2 centimeters.

Autonomous Cars Environment Perception

Autonomous driving touches various fields of science including environment perception, navigation and localization, control and decision making. While obviously, environment perception, navigation, and localization are the founding blocks.LiDAR is of overwhelming importance in autonomous driving. Many universities and research institutes have included LiDAR into their ADAS or autonomous driving projects. LiDAR capable of capturing large amounts of point cloud data delivers 3D models of the surroundings and detects vehicles, pedestrians, trees and road curbs. By integrating LiDAR with other types of sensors, vehicles can gater complete information on driving environment and provides strong base for decision making and control.

Autonomous driving relies on advanced technologies including HD maps, traffic signs identification, real time localization, and obstacles detection, which RoboSense’s newly launched RS-LiDAR makesall of them far more realizable and brings autonomous driving one step closer to reality.
(1) Traffic Sign Detection:RS-LiDAR continuously scan the driving environment and swiftly detects traffic signs at the same time.
(2) Real-time Localization: By integrating environment information from RS-LiDAR with existing HD maps, robots precisely locate itself and make better action decisions.
(3) Obstacles Detection: RS-LiDAR with 16 laser beams and real-time detection ensures accurate and rich data for robots to clearly “see the world” and avoid “miss detect” or “false report” of obstacles.
(4) HD Maps: High definition map is a key step in realizing autonomous driving. Vehicles mounted with RS-LiDAR collect road information on the go and incorporate new information with existing maps to produce most precise maps for themselves and other vehicles as well.
(1) Fast scan rate. with 320,000 points per second data rate, vehicles can detect the environment with higher efficiency and more detailed information.
(2) Comprehensive environment perception with a horizontal FOV of 360° and vertical FOV of 30°.
(3) Adaptable to all light environment and anti-ground clutter interference.
(4) Rugged design adaptable to demanding weather and operation environment.
Robots Environment Perception
In the field of robotics, robots collect 3D environment information on the purpose of better route planning. To develop a field robot that adapts to complex and unknown environments, equipping it with exquisite environment perception is of great importance.Many robots research companies are adopting LiDAR as the principle sensor for their robots.Multi-beam LiDAR captures rich 3D point cloud data offering offer detailed description on the environment and enabling robots perceive the environment with higher precision.
Rigorous product tests prove RS-LiDAR as smart equipment for robots to perceive the surroundings, thanks to its high accuracy and directly data capturing. No matter indoor or outdoor, robots can rely on RS-LiDAR for real time localization and navigation.
(1) Environment Mapping:Through RS-LiDAR and the patented signal processing technology, robots can “see” images of its location and surroundings.
(2) Real-time Localization: By integrating environment information from RS-LiDAR with existing HD maps, robots precisely locate itself and make better action decisions.
(3) Obstacle Detection: RS-LiDAR with 16 laser beams and real-time detection ensures accurate and rich data for robots to clearly “see the world” and avoid “miss detect” or “false report” of obstacles.
(1) Compared with sigle beam LiDAR, micro-wave LiDAR or camera, RS-LiDAR with multi-beams collects more precise 3D environment information.
(2) RS-LiDAR collects rich real-time environment data to support robots in decision making and control.
(3) RS-LiDAR adapts to all ligh environment which enable robots to work in different environments including dark nights.

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