Simulation of a Direct Time-of-Flight LiDAR-System

激光雷达 硅光电倍增管 探测器 蒙特卡罗方法 雪崩光电二极管 光子计数 光学 雪崩二极管 测距 飞行时间 计算机科学 物理 电子工程 工程类 闪烁体 电信 量子力学 统计 数学 击穿电压 电压
作者
Torben Neumann,Franz Kallage
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:23 (13): 14245-14252 被引量:5
标识
DOI:10.1109/jsen.2023.3275269
摘要

The simulation of a direct time-of-flight flash light detection and ranging (LiDAR) system is crucial for the assessment of the system performance during sensor development. However, due to the number of components of the LiDAR system and the optical signal path and their parameter uncertainty, simulation models are often difficult to validate. In this article, a simulation model is proposed, which extends the statistical simulation of the direct time-of-flight method and incorporates different sensor characteristics. Based on a Poisson process with a subsequent Monte Carlo simulation, various detector types are implemented to examine the detection behavior during prototype construction. The detector types considered here include the single-photon avalanche diode (SPAD), the SPAD array, the silicon photomultipliers (SiPM), and the SiPM array. These are simulated in interaction with a LiDAR system, which in addition to the sensor consists of the emitter, signal path, object, and receiver optics modules. Each of them is defined by several individual system parameters. After derivating the photon detection rate, the implementation of the detector-specific parameters, such as dead time, afterpulsing, crosstalk, and threshold, are considered in more detail. Nonideal tunings during prototyping, which are accompanied by the consideration of the pulse shape, the illuminated/observed object area, as well as the actually used detector area, are also considered.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
JJ完成签到,获得积分10
1秒前
wxh完成签到,获得积分10
1秒前
DW应助水之形采纳,获得10
1秒前
芋头冰沙应助zoe采纳,获得10
1秒前
迷路芝麻发布了新的文献求助10
1秒前
糕糕完成签到,获得积分10
1秒前
喵不二完成签到 ,获得积分10
2秒前
张浩发布了新的文献求助10
2秒前
妮妮完成签到 ,获得积分10
3秒前
心如止水完成签到,获得积分10
3秒前
Jelly完成签到,获得积分10
3秒前
4秒前
JJ发布了新的文献求助10
4秒前
思垢完成签到,获得积分10
4秒前
阿达发布了新的文献求助10
4秒前
OsHTAS发布了新的文献求助10
4秒前
任雨净完成签到,获得积分10
5秒前
砂糖完成签到,获得积分10
5秒前
谦让幻枫完成签到,获得积分10
5秒前
小马甲应助sure采纳,获得10
5秒前
5秒前
DW应助okok采纳,获得10
5秒前
是小豆子呀完成签到,获得积分10
5秒前
5秒前
乘风完成签到,获得积分10
5秒前
yy发布了新的文献求助10
5秒前
6秒前
Richard发布了新的文献求助30
6秒前
66666666完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
7秒前
7秒前
8秒前
9秒前
YY发布了新的文献求助10
10秒前
水凤A完成签到 ,获得积分10
10秒前
共享精神应助ning采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7779194
求助须知:如何正确求助?哪些是违规求助? 9319472
关于积分的说明 20371752
捐赠科研通 7366612
什么是DOI,文献DOI怎么找? 3319432
关于科研通互助平台的介绍 2467388
邀请新用户注册赠送积分活动 2334917