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Using the LiDAR Sensor with an Arduino: A Step-by-Step Guide
The LiDAR sensor is a fascinating technology that can be used to create a variety of fun and useful projects, including robotic vacuum cleaners. In this article, we will walk you through the process of connecting the LiDAR sensor to an Arduino board and using it to control a robot.
To begin with, I connected the LiDAR tune included USB to UART converter to my computer, installed the drivers, and Stoddard's point cloud viewer software. I then selected the X axis for lighter and clicked the start button, which not only activated the motor of the system but also created this beautiful dot map on my computer.
As I brought an object with a known distance next to the sensor, it seemed to measure the distance within the given resolution of the datasheet. This was brilliant! If you are confused about how the angle value is referenced, don't worry - we have a zero-degree line that increases to 360 degrees in the clockwise direction.
This system is not only fun to play around with but also useful for mapping rooms and maneuvering robots through them. Modern vacuum cleaner robots can do this using LiDAR sensors. However, the software I used was not suitable for this purpose because it required raw angle and distance values that could be extracted from the sensor's new art series interface.
To get around this, I opened the Real Term see program and set the baud rate of my communication port to 128 thousands, as mentioned in the data sheets. The sensor started spinning, and I saw few lines appear on the screen.
Next, I discovered that by sending over hexadecimal values, specifically '56' for 5 and 60 years, I could enter scanning modes that would hopefully output point data. However, the software started showing tons of unreadable science - the problem was that the sensor only sends over hexadecimal values.
After fixing this mistake, we were able to get all the angle and distance information we needed without decoding those hexadecimal values manually. Instead, I turned to the offered Arduino library for the X4 LiDAR sensor's example code, which could spit out the desired angle and distance values.
However, there was one problem - the sensor's maximum communication voltage is based around 3.3 volts, while the common Arduino uses 5 volts. To fix this, I used an Arduino Pro Mini that powered and programmed at 3.3 volts FTDI breakouts.
After connecting the TX and RX pin of the sensor to the Arduino according to its pin out given by the data sheets and powering it with five volts, I uploaded the Arduino code and checked the serial data through the Real Term software. While there were some correct values, there were also tons of error messages and distances of zero millimeters.
Despite this, I wanted to see whether the available data was enough for my crude vacuum robot experiments. To do this, I ordered a pretty cheap kit that comes with wheels, acrylic plates, motors, and more. It took me around an hour to completely assemble it, as the instructions came without any help.
Once I was done, it was a breeze to multiply light a sensor and thus I was almost ready for testing. Before doing that, however, I had to create a small power control circuit that turns the five volts of my battery power source used for the motors and divider system into 3.3 volts for the Arduino.
While I was editing this, I also added two MOSFETs to control the motor speeds later on for pulse width modulation. According to the finalized wiring scheme, I then hooked up all the components to one another and created a small test code to see whether the motors would function correctly.
This tipsy bicycle rider simulation seems to work just fine, so next I tried implementing the LiDAR system and an algorithm that pretty much stops the robot when it's about to crash and lets it move in the direction with the farthest away objects. Unfortunately, my final results only worked out to some degree.
In conclusion, using a LiDAR sensor with an Arduino is possible but not easy to accomplish. Nevertheless, I hope you still learned quite a bit about such LiDAR sensors if so don't forget to Like, share, subscribe, and hitting the notification bar. Stay creative and I will see you next time!