Map the World and Know Where You Are

YUJIN SLAM

3D LiDAR-based core SLAM technology providing accurate real-time mapping and
precise localization for smart navigation

What is YUJIN SLAM

Yujin’s proprietary core SLAM solution for autonomous mobility applications uses highend sensor integration technology to provide accurate real-time mapping and precise localization for smart navigation in dynamic environments. An evolution from autonomous guided vehicle (AGV) technologies needing external guidance features that may disrupt the environment, Yujin’s SLAM is a step closer to complex human perception, interpreting the world as is. Our SLAM comes as an integrated board form and is compatible with any LiDAR sensor.

Map Building, Yujin LiDAR SLAM

Key features

  • Commercially proven technology
  • Compatible with any LiDAR sensor
  • Integrated board form
  • Map Building, Yujin LiDAR SLAM

Benefits of YUJIN SLAM

Real-time adaptable mapping
Precise
localization​
Field-tested for diverse environments
Wide range of applications​

PRODUCTS

Specifications

Input DataLiDAR Data (Angle, Range), Odom Data (Encoderm IMU) 
Output DataMap (PNG file, Key frame), Adjusted pose (x,y,z) 
Dimensions (L x W x H) 198.2 mm x 196.8 mm x 89.0 mm
(7.80" x 7.74" x 3.50")
Mapping / Localization AccuracyLinear+/- 40 mm
Angular+/- 1.5 degree
CoverageMappingmax. 225m x 225m
Supported drive typeDifferential (2 wheels), Mecanum (Omni, 4 wheels)
Compatible sensorsIMU, LiDAR (YUJIN LiDAR YRL3-series, RoboSense RS-Bpearl, Ouster OS0-64, Velodyne VLP-16, SICK TiM 510, 571, S300 mini, Slamtec RPLIDAR-A2)
GeneralCPUIntel i7-7700
MemoryDDR4 8GB
Ports2 x HDMI, 2 x USB 3.0, 2 x USB 2.0, 2 x Ethernet
Power12V/5A or 19~24V/4A
CommunicationInput dataLiDAR Data (Angle, Range), Odom Data (wheel radius, encoder, gyro, motor gear ratio -> x,y,theta) 
Output dataMap (PNG file, Key frame), Adjusted pose (x,y,theta)
Interface I/OEthernet RJ-45
ProtocalUDP (User Datagram Protocol)

Specifications

Input Data
LiDAR Data (Angle, Range), Odom Data (Encoderm IMU)
Output Data
Map (PNG file, Key frame), Adjusted pose (x,y,z)
Dimensions (L x W x H)
198.2 mm x 196.8 mm x 89.0 mm
(7.80" x 7.74" x 3.50")
Mapping / Localization Accuracy
Linear
+/- 40 mm
Mapping / Localization Accuracy
Angular
+/- 1.5 degree
Coverage - Mapping
max. 225m x 225m
Supported drive type
Differential (2 wheels), Mecanum (Omni, 4 wheels)
Compatible sensors
IMU, LiDAR
(YUJIN LiDAR YRL3-series, RoboSense RS-Bpearl, Ouster OS0-64, Velodyne VLP-16, SICK TiM 510, 571, S300 mini, Slamtec RPLIDAR-A2)
General - CPU
Intel i7-7700
General - Memory
DDR4 8GB
General - Ports
2 x HDMI, 2 x USB 3.0, 2 x USB 2.0, 2 x Ethernet
General - Power
12V/5A or 19~24V/4A
Communication - Input data
LiDAR Data (Angle, Range), Odom Data (wheel radius, encoder, gyro, motor gear ratio -> x,y,theta)
Communication - Output data
Map (PNG file, Key frame), Adjusted pose (x,y,theta)
Communication - Interface I/O
Ethernet RJ-45
Communication - Protocal
UDP (User Datagram Protocol)

Knowledge & Resources

Stay up-to-date on the latest news and blogs from Yujin Robot.

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Overall Market Trend – Indoor Autonomous Solutions

The market for indoor autonomous solutions is poised to see higher growth this year than ever before. According to Fortune Business Insights, 2020 saw a 14.1% growth in the global…
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