7.2 48 ×4013.5毫米深度分辨率闪光激光雷达传感器与在像素变焦直方图时间-数字转换器

Bumjun Kim, Seonghyeok Park, J. Chun, Jaehyuk Choi, Seong-Jin Kim
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引用次数: 20

摘要

3D成像技术已经在用户识别、AR/VR设备的交互式用户界面和自动驾驶汽车等各种应用中变得普遍。直接飞行时间(D-ToF)系统,即激光雷达传感器,是户外环境中长距离测量的理想选择,因为它们对弱反射光具有高灵敏度,并且由于SPADs的时空相关性[1],[2],它们对背景光具有高免疫力。基于spad的激光雷达传感器由于复杂的时间-数字转换器(TDC)产生大量的ToF数据,导致与间接ToF (I-ToF)传感器相比,空间分辨率和帧率有限。最近,据报道,嵌入直方图tdc的LiDAR传感器可以生成深度信息,以减少所需的输出带宽[3]-[6]。然而,它们仍然采用大量的像素级存储器、复杂的信号处理器或带扫描光学的列-并行TDC方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
7.2 A 48 ×4013.5 mm Depth Resolution Flash LiDAR Sensor with In-Pixel Zoom Histogramming Time-to-Digital Converter
3D imaging technologies have become prevalent for diverse applications such as user identification, interactive user interfaces with AR/VR devices, and self-driving cars. Direct time-of-flight (D-ToF) systems, LiDAR sensors, are desirable for long-distance measurements in outdoor environments because they offer high sensitivity to weak reflected light and high immunity to background light thanks to the spatiotemporal correlation of SPADs [1], [2]. SPAD-based LiDAR sensors suffer from a large amount of ToF data generated by complicated time-to-digital converters (TDC), resulting in limited spatial resolution and frame rate compared with indirect ToF (I-ToF) sensors. Recently, LiDAR sensors embedding histogramming TDCs have been reported to generate depth information to reduce the required output bandwidth [3]–[6]. However, they still adopt a large number of memories in pixel, a complicated signal processor, or a column-parallel TDC scheme with scanning optics.
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