I had my first try at visualizing incoming data from the LIDAR last night. Good news is that it worked, and I got a successful SLAM map of the room. That’s pretty awesome.
Bad news is I definitely have to redesign the pulley mechanism. Stepper motor is ridiculously loud, heavy and slow. I need to design a smaller pulley system that runs on an encoded DC motor.
I used a Python library called BreezySLAM for the SLAM implementation. It really simplifies the amount of work you have to do. I had to do some figuring out on Python serial comms, but once I got the data from Arduino to Jupyter, I had the image rendered in a few minutes. Here is the relevant piece of code:
import io import PIL.Image as Image import IPython.display MAP_SIZE_PIXELS = 800 from breezyslam.sensors import Laser from breezyslam.algorithms import RMHC_SLAM garmin = Laser(332, 4, 360, 4000) slam = RMHC_SLAM(garmin, MAP_SIZE_PIXELS, 7) for i in range(TOTAL_SCANS): slam.update(scans_mm[i]) map_data = bytearray(MAP_SIZE_PIXELS * MAP_SIZE_PIXELS) slam.getmap(map_data) image = Image.frombuffer('L', (MAP_SIZE_PIXELS, MAP_SIZE_PIXELS), map_data, 'raw', 'L', 0, 1) IPython.display.display(image)
So, success on the software but back to the drawing board on the mechanical. This is not such a big deal, since I can apply the learnings to the new design. Notes for v2: