Laser Distance Measuring and Image Calibration for Robot Walking Using Mean Shift Algorithm

In this research, we have measured the physical distance between the robot and its surroundings using a laser distance measuring device that we have developed, designed controllers for, and tested operationally. We will record the distance using the USB camera and integrate the LDMSB board into the laser distance measuring design. We will fasten these two parts to the robot's underside. Developing the experiment in LabVIEW is the next step. The mean shift method enables us to move the robot's position by relocating a laser-based distance measurement device and capturing a photo at that location. In order to record that area, we will perform a perspective camera calibration. This will allow us to set up or adjust the camera system's value, or provide visual assistance to ensure that the viewing angle is precisely aligned with the intended view angle. The laser measurement results ranged from one to fifteen meters. A device that makes use of lasers has 99.25% accuracy. Every calibration location throughout the 10 has a precision rating of 94.03%.

@article{Kosarat2024,
  title     = {Laser Distance Measuring and Image Calibration for Robot Walking Using Mean Shift Algorithm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {12},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Rujipan Kosarat and Anan Wongjan},
  doi       = {10.14569/IJACSA.2024.0151215},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151215}
}