A CMOS LiDAR Sensor with Pre-Post Weighted-Histogramming for Sunlight Immunity Over 105 klx and SPAD-based Infinite Interference Canceling

Hyeongseok Seo, Gihwan Cho, Jungwoo Kim, Junhan Bae, Seong Jin Kim, Jung Hoon Chun, Jaehyuk Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a CMOS LiDAR sensor with high background noise (BGN) immunity. The sensor has on-chip pre-post weighted histogramming to detect only time-correlated time-of-flight (TOF) out of BGN from both sunlight and exponentially increased dark noise while enhancing sensitivity through higher excess voltage (Vex) of SPADs. The sensor also employs a SPAD-based random number generator (SRNG) for canceling interference (IF) from an infinite number of LiDARs. The sensor shows 8.08 cm accuracy for the range of 32 m under high BGN (105 klx sunlight and 48.72 kcps dark-count rate with increased Vex).

Original languageEnglish
Title of host publication2021 Symposium on VLSI Technology, VLSI Technology 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784863487802
StatePublished - 2021
Event41st Symposium on VLSI Technology, VLSI Technology 2021 - Virtual, Online, Japan
Duration: 13 Jun 202119 Jun 2021

Publication series

NameDigest of Technical Papers - Symposium on VLSI Technology
Volume2021-June
ISSN (Print)0743-1562

Conference

Conference41st Symposium on VLSI Technology, VLSI Technology 2021
Country/TerritoryJapan
CityVirtual, Online
Period13/06/2119/06/21

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