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Open AccessArticle

Micro-Distortion Detection of Lidar Scanning Signals Based on Geometric Analysis

by Shuai Liu 1,2,3, Xiang Chen 1, Ying Li 4 and Xiaochun Cheng 5,*
1
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang 471000, China
2
College of Computer Science, Inner Mongolia University, Hohhot 010012, China
3
College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China
4
College of information and communication engineering, Harbin Engineering University, Harbin 150000, China
5
College of Computer Science, Middlesex University, London NW4 4BT, UK
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(12), 1471; https://doi.org/10.3390/sym11121471
Received: 20 October 2019 / Revised: 27 November 2019 / Accepted: 29 November 2019 / Published: 3 December 2019
(This article belongs to the Special Issue Recent Advances in Social Data and Artificial Intelligence 2019)
When detecting micro-distortion of lidar scanning signals, current hardwires and algorithms have low compatibility, resulting in slow detection speed, high energy consumption, and poor performance against interference. A geometric statistics-based micro-distortion detection technology for lidar scanning signals was proposed. The proposed method built the overall framework of the technology, used TCD1209DG (made by TOSHIBA, Tokyo, Japan) to implement a linear array CCD (charge-coupled device) module for photoelectric conversion, signal charge storage, and transfer. Chip FPGA was used as the core component of the signal processing module for signal preprocessing of TCD1209DG output. Signal transmission units were designed with chip C8051, FT232, and RS-485 to perform lossless signal transmission between the host and any slave. The signal distortion feature matching algorithm based on geometric statistics was adopted. Micro-distortion detection of lidar scanning signals was achieved by extracting, counting, and matching the distorted signals. The correction of distorted signals was implemented with the proposed method. Experimental results showed that the proposed method had faster detection speed, lower detection energy consumption, and stronger anti-interference ability, which effectively improved micro-distortion correction. View Full-Text
Keywords: geometric analysis; lidar scanning signal; micro-distortion; detection technology; TCD1209DG; lossless signal transmission geometric analysis; lidar scanning signal; micro-distortion; detection technology; TCD1209DG; lossless signal transmission
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Liu, S.; Chen, X.; Li, Y.; Cheng, X. Micro-Distortion Detection of Lidar Scanning Signals Based on Geometric Analysis. Symmetry 2019, 11, 1471.

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