Subjects: Engineering and technical science >> Optical Engineering submitted time 2021-10-21
Abstract： This paper proposes a simple self-calibration method for the internal time synchronization of MEMS(Micro-electromechanical systems) LiDAR during research and development. Firstly, we introduced the problem of internal time misalignment in MEMS lidar. Then, a robust Minimum Vertical Gradient(MVG) prior is proposed to calibrate the time difference between the laser and MEMS mirror, which can be calculated automatically without any artificial participation or specially designed cooperation target. Finally, actual experiments on MEMS LiDARs are implemented to demonstrate the effectiveness of the proposed method. It should be noted that the calibration can be implemented in a simple laboratory environment without any ranging equipment and artificial participation, which greatly accelerate the progress of research and development in practical applications."
Peer Review Status:
Awaiting Review
Subjects: Computer Science >> Computer Application Technology Subjects: Medicine, Pharmacy >> Other Disciplines of Medicine and Pharmacology Subjects: Engineering and technical science >> Optical Engineering submitted time 2021-05-24
Abstract： Human sense of stimulus quantity is divided into quantitative sense and qualitative sense. Whether it's Weber- Fechner's logarithm sensory law or Stevens's power function sensory law are both such a law that is about the quantitative relationship between sensory quantity and one-dimensional luminance stimulus. The image belongs to the stimulus with two-dimensional distribution characteristics of the luminance. It is studied in this paper that is the qualitative sense for two-dimensional luminance stimulus, that is, the sense of the good level or bad level of the quality of two-dimensional luminance stimulus are studied. Good level or bad level is a fuzzy psychological conception, so we need to use the method of fuzzy mathematics to quantify the good level or the bad level of the visual perception quality of an image, that is to establish a fuzzy membership function PQ to quantitatively represent the good level or the bad level of the visual quality of an image.
Peer Review Status:Awaiting Review
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