Abstract
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.
Highlights
The recent development of wireless information has promoted the maturity of laser lidar mapping technology
Existing micro-distortion detection technologies of lidar scanning signal have the problems of long detection time, high energy consumption, and poor performance against interference [19,20]
To deal with these problems, a technique based on geometric statistics for micro-distortion detection of the lidar signal was proposed
Summary
The recent development of wireless information has promoted the maturity of laser lidar mapping technology. Since current complicated micro-distortion detection technologies of lidar scanning signals have poor. Different experts and scholars realized the detection of micro-distortion for scanning signals by different methods in years. Micro-distortion detection was further realized by the calibration result This method did not pre-process scanning signals, so its distortion detection was interfered by factors, such as illumination change. According to the analysis results, a three-dimensional model was constructed to realize distortion detection for lidar scanning signals. A micro-distortion detection method for lidar scanning signals with geometric statistical characteristics was proposed in this paper. The proposed method used TCD1209DG to model the linear array CCD (charge-coupled device), reverse optoelectronics, and store and transmit the signal charge It improved the time-consuming and energy consumption of [9,10], respectively. Through the experiment of micro-distortion correction, compared with the existing methods, this method had faster detection speed, lower detection energy consumption, and stronger anti-interference ability
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