Shenglong Zhuo, Lei Zhao, Tao Xia, Lei Wang, Shi-min Shi, Yifan Wu, Chang Liu, Chill Wang, Yuwei Wang, Yuan Li, Hengwei Yu, Jiqing Xu, Aaron Wang, Zhihong Lin, Yun Chen, Rui Bai, Xuefeng Chen, Patrick Chiang
{"title":"采用8通道可寻址20W/Ch发射器和128x128 SPAD接收器的固态dof激光雷达系统,具有基于信噪比的像素分帧和分辨率提升","authors":"Shenglong Zhuo, Lei Zhao, Tao Xia, Lei Wang, Shi-min Shi, Yifan Wu, Chang Liu, Chill Wang, Yuwei Wang, Yuan Li, Hengwei Yu, Jiqing Xu, Aaron Wang, Zhihong Lin, Yun Chen, Rui Bai, Xuefeng Chen, Patrick Chiang","doi":"10.1109/CICC53496.2022.9772823","DOIUrl":null,"url":null,"abstract":"The ability to capture the spatial dimensions of the world around us is growing in importance, with the widespread adoption of 3D-sensing used today for secure facial authentication, AR occlusion, robotic vision and SLAM, autonomous driving, and 3D-reconstruction. Most state-of-the-art light detection and ranging (LiDAR) systems mainly focus on the sensor design [1]–[4]. However, the optical-electrical system of LiDAR is complex, requiring hardware and software co-optimization across the entire signal chain: high-power sub-1ns pulsed laser drivers, high-efficiency lasers, class-1 laser eye-safety, optical lens for focusing or diffusion, high-SNR single-photon detection receiver arrays, and machine learning (ML) based computational photography.","PeriodicalId":415990,"journal":{"name":"2022 IEEE Custom Integrated Circuits Conference (CICC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Solid-State dToF LiDAR System Using an Eight-Channel Addressable, 20W/Ch Transmitter, and a 128x128 SPAD Receiver with SNR-Based Pixel Binning and Resolution Upscaling\",\"authors\":\"Shenglong Zhuo, Lei Zhao, Tao Xia, Lei Wang, Shi-min Shi, Yifan Wu, Chang Liu, Chill Wang, Yuwei Wang, Yuan Li, Hengwei Yu, Jiqing Xu, Aaron Wang, Zhihong Lin, Yun Chen, Rui Bai, Xuefeng Chen, Patrick Chiang\",\"doi\":\"10.1109/CICC53496.2022.9772823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ability to capture the spatial dimensions of the world around us is growing in importance, with the widespread adoption of 3D-sensing used today for secure facial authentication, AR occlusion, robotic vision and SLAM, autonomous driving, and 3D-reconstruction. Most state-of-the-art light detection and ranging (LiDAR) systems mainly focus on the sensor design [1]–[4]. However, the optical-electrical system of LiDAR is complex, requiring hardware and software co-optimization across the entire signal chain: high-power sub-1ns pulsed laser drivers, high-efficiency lasers, class-1 laser eye-safety, optical lens for focusing or diffusion, high-SNR single-photon detection receiver arrays, and machine learning (ML) based computational photography.\",\"PeriodicalId\":415990,\"journal\":{\"name\":\"2022 IEEE Custom Integrated Circuits Conference (CICC)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Custom Integrated Circuits Conference (CICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICC53496.2022.9772823\",\"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 Custom Integrated Circuits Conference (CICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICC53496.2022.9772823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solid-State dToF LiDAR System Using an Eight-Channel Addressable, 20W/Ch Transmitter, and a 128x128 SPAD Receiver with SNR-Based Pixel Binning and Resolution Upscaling
The ability to capture the spatial dimensions of the world around us is growing in importance, with the widespread adoption of 3D-sensing used today for secure facial authentication, AR occlusion, robotic vision and SLAM, autonomous driving, and 3D-reconstruction. Most state-of-the-art light detection and ranging (LiDAR) systems mainly focus on the sensor design [1]–[4]. However, the optical-electrical system of LiDAR is complex, requiring hardware and software co-optimization across the entire signal chain: high-power sub-1ns pulsed laser drivers, high-efficiency lasers, class-1 laser eye-safety, optical lens for focusing or diffusion, high-SNR single-photon detection receiver arrays, and machine learning (ML) based computational photography.