A Modular, Direct Time-of-Flight Depth Sensor in 45/65-nm 3-D-Stacked CMOS Technology

CMOS芯片 测距 CMOS传感器 激光雷达 像素 探测器 激光器 计算机科学 模块化设计 光学 图像传感器 材料科学 光电子学 物理 电信 操作系统
作者
Augusto Ronchini Ximenes,P. Parameswaran,Myoung-Jae Lee,Y. Yamashita,Dun–Nian Yaung,Edoardo Charbon
出处
期刊:IEEE Journal of Solid-state Circuits [Institute of Electrical and Electronics Engineers]
卷期号:54 (11): 3203-3214 被引量:54
标识
DOI:10.1109/jssc.2019.2938412
摘要

This article introduces a modular, direct time-of-flight (TOF) depth sensor. Each module is digitally synthesized and features a 2$\times $ (8 $\times $ 8) single-photon avalanche diode (SPAD) pixel array, an edge-sensitive decision tree, a shared time-to-digital converter (TDC), 21-bit per-pixel memory, and in-locus data processing. Each module operates autonomously, by internal data acquisition, management, and storage, being periodically read out by an external access. The prototype was fabricated in a TSMC 3-D-stacked 45/65-nm CMOS technology, featuring backside illumination (BSI) SPAD detectors on the top tier, and readout circuit on the bottom tier. The sensor was characterized by single-point measurements, in two different modes of resolution and range. In low-resolution mode, a maximum of 300-m and 80-cm accuracy was recorded; on the other hand, in high-resolution mode, the maximum range and accuracy were 150 m and 7 cm, respectively. The module was also used in a flexible scanning light detection and ranging (LiDAR) system, where a 256 $\times $ 256 depth map, with millimeter precision, was obtained. A laser signature based on pulse-position modulation (PPM) is also proposed, achieving a maximum of 28-dB interference reduction.

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
莫西莫西完成签到,获得积分10
刚刚
1秒前
77发布了新的文献求助10
1秒前
Rita完成签到,获得积分10
1秒前
科研狗完成签到 ,获得积分10
2秒前
ZeKaWa应助111采纳,获得10
5秒前
超帅老四发布了新的文献求助10
6秒前
所所应助cc采纳,获得10
6秒前
6秒前
小安应助felix采纳,获得10
6秒前
7秒前
九玖酒完成签到,获得积分10
7秒前
momo发布了新的文献求助10
7秒前
7秒前
8秒前
Lzced完成签到 ,获得积分10
9秒前
12秒前
yhq关注了科研通微信公众号
12秒前
枫丶发布了新的文献求助10
12秒前
种草匠完成签到,获得积分10
13秒前
13秒前
13秒前
14秒前
充电宝应助hyl123456采纳,获得10
15秒前
15秒前
慕青应助HJY4135采纳,获得10
15秒前
cc发布了新的文献求助10
17秒前
小蘑菇应助111采纳,获得10
17秒前
liuerye发布了新的文献求助10
18秒前
充电宝应助殷勤的天亦采纳,获得10
18秒前
wuyf完成签到,获得积分10
18秒前
18秒前
77发布了新的文献求助30
19秒前
21秒前
22秒前
molihuakai应助安兹乌尔恭采纳,获得10
23秒前
24秒前
J_B_Zhao应助qiaoyun采纳,获得10
25秒前
在水一方应助momo采纳,获得10
26秒前
molihuakai应助EV采纳,获得10
26秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6491784
求助须知:如何正确求助?哪些是违规求助? 8289608
关于积分的说明 17688691
捐赠科研通 5583137
什么是DOI,文献DOI怎么找? 2915156
邀请新用户注册赠送积分活动 1892244
关于科研通互助平台的介绍 1750098