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This project demonstrates how to build a LiDAR monitoring system using the Unihiker board and the YDLIDAR X2 sensor. The Unihiker, with its built-in touchscreen and Python support, serves as the main controller and display unit. The YDLIDAR X2 provides 360-degree distance scanning, allowing the system to detect objects and visualize the environment in real-time.
The project highlights:
Hardware integration: Connecting the YDLIDAR X2 to the Unihiker through USB.
Real-time visualization: Displaying LiDAR scan data on Unihiker’s touchscreen as a radar-like map.
Portability: A compact setup that does not require an external PC for monitoring.
Applications: Obstacle detection, indoor mapping, or educational demonstrations of LiDAR technology.
This setup provides a low-cost and interactive way to learn about LiDAR and data visualization using Python on embedded hardware.
Key Features
- 360° real-time visualization
- Auto-scaled graph to fit the screen (320x480)
- Connection status display (Connected / Disconnected / Reconnecting)
- Start and Stop buttons to control scanning
- Filters out data that is too close (< 0.1 m) or beyond the max range (> 10 m) for a cleaner graph view
Key Code Components
- LidarX2("/dev/ttyUSB0"): Opens connection to the LiDAR via USB
- Matplotlib + Tkinter: Draws a scatter plot to display LiDAR points
Usage
1.Connect the YDLIDAR X2 to the Unihiker’s USB port
2.Run the code on the board
3.Press Start to begin scanning — blue points will appear, showing objects around you
4.Press Stop to stop scanning
CODE:
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