Through cooperation with Kanavi Mobility, a parent company specializing in autonomous driving systems, we provide system software solutions such as lidar sensor modules, vehicle-to-vehicle communication modules, domain control modules, and Hi-Pass system.

Lidar Sensor 


LiDAR solution provides 3D data solutions by recognizing dynamic obstacles (vehicles, pedestrians, etc.) and road signs (lanes, stop lines, crosswalks, etc.) signals within the area for smart city construction.

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V2X OBU


We develop terminals that meet North American and European standards. Currently, we have completed the development of a prototype of a hybrid V2X communication terminal for aftermarket and we plan to expand the development area to roadside base stations in the future.


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ETCS Module (Hi-Pass)


ETCS is a system that automatically collects tolls when passing through expressway toll gates without stopping through 5.8GHz wireless communication using a smart card.

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Industrial WLAN Wireless Device and Management System (Smart Factory)
 


We develop devices supporting information exchange and data processing of Mobility, AGV, and AMR for factory autonomous in Hyundai Motor Singapore plant. It supports a management function for device status diagnosis and inspection, and roaming between Mobility's V2X device and WiFi 6.




DCU 
(Domain Control Unit)


Light-weight sensor fusion platform based on deep learning
The DCU module integrates individual sensors to process and control signals. It is a high-performance, low-power, 
high-reliability core electronic control device that plays the role of the brain that composes the autonomous driving system.
Sensor Fusion DCU (Camera+LiDAR)

Sensor fusion DCU can recognize objects based on deep learning using Cameras and LiDARs.

- Deep learning object (vehicle, person) recognition
- Physical object size awareness
- Object status (distance, speed) information recognition
- Matching video and point cloud



Multi-LiDAR DCU

The multi-Lidar DCU can recognize the surrounding situation by matching the point cloud output from multiple Lidar sensors. 

Object recognition in all directions (360°)
- Physical object size awareness
- Object status (distance, speed)
- Matching point cloud 


Sensor Fusion DCU (Cam+LiDAR+Radar)

Sensor fusion DCU provides information for autonomous driving (L3) by accurately recognizing the surrounding environment by integrating Cameras, Lidars, and Radars.

- Matching front image and point cloud
- Create side and rear point clouds
- High detection distance/recognition accuracy
- Alignment of rear image and point cloud