An Overlapping and Leading Edge Detection Combined Technique for Distance Estimation under High-Background Lights in a Pulsed-LiDAR System

T. Nguyen, Ching-Hwa Cheng, Don-Gey Liu, Song-Toan Tran, Minh-Hai Le
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Abstract

In this paper, we implemented a direct Time of Flight (ToF) method to calculate the distance of a pulsed-LiDAR in high background lights on a Red Pitaya platform. In this proposed system, we utilized the Red Pitaya Kit to simulate the generation of LiDAR pulses. Another Kit used to capture, process data, and estimate the distance. Signals are acquired, including high-intensity background noise because LiDARs are requested to work in worse environments like sunlight, electric light, fog, etc. To overcome this problem, we proposed an Overlapping-edge (OE) technique to be combined with the Leading-edge (LE) method to detect pulses in noisy environments. Moreover, the sampling rate of the ADC in this platform was limited to 125Msps. Therefore, we performed an interpolation algorithm, namely Center of Mass (CoM), to increase the accuracy of the estimated distance. The experiment was performed on simulated signals with a signal-to-noise ratio of -8.5dB. The obtained result showed that the average success rate of measurements increased 7.56% compared with the Leading-edge method and the average accuracy reached nearly 7.1cm. In conclusion, we have built a high noise Pulse-LiDAR source and calculate distance on a Red Pitaya platform with a low cost and highly stable accuracy. The performance of a LiDAR system was also evaluated in this study.
脉冲激光雷达系统高背景光下距离估计的重叠与前沿检测结合技术
在本文中,我们实现了一种直接飞行时间(ToF)方法来计算高背景光下红火果平台上脉冲激光雷达的距离。在这个系统中,我们利用红火龙果工具包来模拟激光雷达脉冲的产生。另一个用于捕获、处理数据和估计距离的工具包。由于激光雷达被要求在恶劣的环境下工作,如阳光、电灯、雾等,因此需要获取包括高强度背景噪声在内的信号。为了克服这一问题,我们提出了一种将重叠边缘(OE)技术与前缘(LE)方法相结合的方法来检测噪声环境中的脉冲。此外,该平台中ADC的采样率被限制在125Msps。因此,为了提高估计距离的精度,我们采用了一种插值算法,即质心(CoM)。实验在信噪比为-8.5dB的模拟信号上进行。结果表明,与前沿法相比,平均测量成功率提高了7.56%,平均精度接近7.1cm。综上所述,我们在红火龙果平台上构建了高噪声脉冲激光雷达源并计算了距离,成本低,精度高稳定。本研究还对激光雷达系统的性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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