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High Precision 3D Point Cloud with Modulated Pulses for LiDAR System

  • Kai-Jiun YangEmail author
  • Chi-Tien Sun
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 63)

Abstract

The LiDAR system uses laser pulses to delineate the 3D point cloud. Conventional LiDAR equipment is bulky and expensive because it contains multiple sets of laser guns and photo diodes with mechanical motors. If there are multiple LiDAR devices in the same filed or other laser beams that are of the same wavelength, the measurements can be interfered by one another. In this paper, we proposed the architecture to differentiate the desired signal from the ambient interference. The detecting laser pulses are encoded while the reflected laser pulses are analysed in both time and frequency domain. Additionally, the accuracy is further improved by phase equalization of the reflected laser pulses. The FPGA platform with MEMs mirror was built to validate the pro-posed architecture, and the dimension of the platform is greatly reduced so that the prototype is portable.

Keywords

LiDAR ToF Multi-user Fast Fourier Transform Time Delay and Phase Rotate Conversion 

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References

  1. 1.
  2. 2.
    J. Kostamovaara, K. Maatta, and R. Myllyla, “Pulsed time-of-fight laser range finding techniques for industrial applications,” Proc. SPIE Conf. Intelligent Robotic Systems-Optics, Illumination and Image Sensing for Machine Vision, Nov. 1991, vol. 1614, pp. 283–295.Google Scholar
  3. 3.
    M. Ou-Yang, “High-dynamic-range laser range finders based on a novel multimodulated frequency method”, Optical Engineering, vol. 45, no. 12, p. 123603, 2006.Google Scholar
  4. 4.
    K. Ito, C. Niclass, I. Aoyagi, H. Matsubara, M. Soga, S. Kato, M. Maeda and M. Kagami, “System design and performance characterization of a MEMS-based laser scanning time-of-flight sensor based on a 256 × 64-pixel Single-Photon Imager”, IEEE Photonics J., vol. 5, no. 2, 2013.Google Scholar
  5. 5.
    C. Niclass, M. Soga, H. Matsubara, M. Ogawa and M. Kagami, “A 0.18-μ CMOS SoC for a 100-m-Range 10-Frame/s 200 × 96-Pixel Time-of-Flight Depth Sensor,” IEEE Journal of Solid-State Circuits, vol. 49, no. 1, pp. 315–330, Jan. 2014.Google Scholar
  6. 6.
    A. Oppenheim and R. Schafer, Discrete-time signal processing. Englewood Cliffs, N.J.: Prentice Hall, 1999.Google Scholar
  7. 7.
    Y.H. Hu, “CORDIC-based VLSI architectures for digital signal processing,” Signal Processing Magazine, IEEE, vol. 9, no. 3, pp.16–35, July 1992.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Industrial Technology Research InstituteHsinchuTaiwan, R.O.C.

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