Seonghyeok Park, Bumjun Kim, Junhee Cho, J. Chun, Jaehyuk Choi, Seong-Jin Kim
{"title":"基于四元搜索和时间门控Δ-Intensity 45m探测距离和背景光抵消的像素内直方图TDC 80×60 Flash LiDAR传感器","authors":"Seonghyeok Park, Bumjun Kim, Junhee Cho, J. Chun, Jaehyuk Choi, Seong-Jin Kim","doi":"10.1109/ISSCC42614.2022.9731112","DOIUrl":null,"url":null,"abstract":"Light detection and ranging (LiDAR) sensors have become one of the key building blocks to realize metaverse applications with VR/AR in mobile devices and level-5 automotive vehicles. In particular, SPAD-based direct time-of-flight (D-ToF) sensors have emerged as LiDAR sensors because they offer a longer maximum detectable range and higher background light immunity than indirect time-of-flight (I-ToF) sensors with photon-mixing devices [1]. However, their complicated front- and back-end blocks to resolve ToF values as short as 100ps require high-resolution TDCs and several memories, limiting the spatial resolution and the depth accuracy in short ranges. To address this issue, alternative architectures combining both D-ToF and I-ToF techniques have been reported [2, 3]. Direct-indirect-mixed frame synthesis provides accurate depth information by detecting phases in short ranges while creating a sparse depth map with counting photons in long ranges [2]. A two-step histogramming TDC is used in [3] where a coarse D-ToF discriminates distance roughly and a fine I-ToF extracts depth precisely. However, these approaches still suffer from limited depth accuracy [2] or low spatial resolution [3].","PeriodicalId":6830,"journal":{"name":"2022 IEEE International Solid- State Circuits Conference (ISSCC)","volume":"1 1","pages":"98-100"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"An 80×60 Flash LiDAR Sensor with In-Pixel Histogramming TDC Based on Quaternary Search and Time-Gated Δ-Intensity Phase Detection for 45m Detectable Range and Background Light Cancellation\",\"authors\":\"Seonghyeok Park, Bumjun Kim, Junhee Cho, J. Chun, Jaehyuk Choi, Seong-Jin Kim\",\"doi\":\"10.1109/ISSCC42614.2022.9731112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Light detection and ranging (LiDAR) sensors have become one of the key building blocks to realize metaverse applications with VR/AR in mobile devices and level-5 automotive vehicles. In particular, SPAD-based direct time-of-flight (D-ToF) sensors have emerged as LiDAR sensors because they offer a longer maximum detectable range and higher background light immunity than indirect time-of-flight (I-ToF) sensors with photon-mixing devices [1]. However, their complicated front- and back-end blocks to resolve ToF values as short as 100ps require high-resolution TDCs and several memories, limiting the spatial resolution and the depth accuracy in short ranges. To address this issue, alternative architectures combining both D-ToF and I-ToF techniques have been reported [2, 3]. Direct-indirect-mixed frame synthesis provides accurate depth information by detecting phases in short ranges while creating a sparse depth map with counting photons in long ranges [2]. A two-step histogramming TDC is used in [3] where a coarse D-ToF discriminates distance roughly and a fine I-ToF extracts depth precisely. However, these approaches still suffer from limited depth accuracy [2] or low spatial resolution [3].\",\"PeriodicalId\":6830,\"journal\":{\"name\":\"2022 IEEE International Solid- State Circuits Conference (ISSCC)\",\"volume\":\"1 1\",\"pages\":\"98-100\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Solid- State Circuits Conference (ISSCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCC42614.2022.9731112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Solid- State Circuits Conference (ISSCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCC42614.2022.9731112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An 80×60 Flash LiDAR Sensor with In-Pixel Histogramming TDC Based on Quaternary Search and Time-Gated Δ-Intensity Phase Detection for 45m Detectable Range and Background Light Cancellation
Light detection and ranging (LiDAR) sensors have become one of the key building blocks to realize metaverse applications with VR/AR in mobile devices and level-5 automotive vehicles. In particular, SPAD-based direct time-of-flight (D-ToF) sensors have emerged as LiDAR sensors because they offer a longer maximum detectable range and higher background light immunity than indirect time-of-flight (I-ToF) sensors with photon-mixing devices [1]. However, their complicated front- and back-end blocks to resolve ToF values as short as 100ps require high-resolution TDCs and several memories, limiting the spatial resolution and the depth accuracy in short ranges. To address this issue, alternative architectures combining both D-ToF and I-ToF techniques have been reported [2, 3]. Direct-indirect-mixed frame synthesis provides accurate depth information by detecting phases in short ranges while creating a sparse depth map with counting photons in long ranges [2]. A two-step histogramming TDC is used in [3] where a coarse D-ToF discriminates distance roughly and a fine I-ToF extracts depth precisely. However, these approaches still suffer from limited depth accuracy [2] or low spatial resolution [3].