TY - GEN
T1 - 6.7 A 160×120 Flash LiDAR Sensor with Fully Analog-Assisted In- Pixel Histogramming TDC Based on Self-Referenced SAR ADC
AU - Han, Su Hyun
AU - Park, Seonghyeok
AU - Chun, Jung Hoon
AU - Choi, Jaehyuk
AU - Kim, Seong Jin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Three-dimensional (3-D) mapping for recognizing surrounding objects plays a crucial role in realizing the metaverse and spatial computing on mobile devices. A LiDAR sensor based on direct time-of-flight (dToF) technology is one of the strong candidates to provide depth information in real time, and its development efforts have recently surged. Flash LiDAR systems are suitable for 3-D mapping within 20-to-30m ranges because all pixels simultaneously operate with diffused infrared light in a global-shutter manner, achieving cost-effective solutions with simple optical equipment [1]. However, a largesize in-pixel histogramming time-to-digital converter (hTDC) is inevitable to support the time-correlated single-photon counting method for acquiring a reliable depth map, still limiting their spatial resolutions to lower than QVGA (320×240) despite fabrication in an advanced 3-D stacked technology [2]. Two-step histogramming algorithms, such as partial histogramming [3], successive approximation (SA) [4], and quaternary searching [5], have been developed to reduce the size of hTDC and improve spatial resolution, but their power dissipation is also unacceptable for long-term usage with small energy sources, although analog counters [4] and a power duty cycling scheme [5] have been adopted.
AB - Three-dimensional (3-D) mapping for recognizing surrounding objects plays a crucial role in realizing the metaverse and spatial computing on mobile devices. A LiDAR sensor based on direct time-of-flight (dToF) technology is one of the strong candidates to provide depth information in real time, and its development efforts have recently surged. Flash LiDAR systems are suitable for 3-D mapping within 20-to-30m ranges because all pixels simultaneously operate with diffused infrared light in a global-shutter manner, achieving cost-effective solutions with simple optical equipment [1]. However, a largesize in-pixel histogramming time-to-digital converter (hTDC) is inevitable to support the time-correlated single-photon counting method for acquiring a reliable depth map, still limiting their spatial resolutions to lower than QVGA (320×240) despite fabrication in an advanced 3-D stacked technology [2]. Two-step histogramming algorithms, such as partial histogramming [3], successive approximation (SA) [4], and quaternary searching [5], have been developed to reduce the size of hTDC and improve spatial resolution, but their power dissipation is also unacceptable for long-term usage with small energy sources, although analog counters [4] and a power duty cycling scheme [5] have been adopted.
UR - https://www.scopus.com/pages/publications/85188141177
U2 - 10.1109/ISSCC49657.2024.10454470
DO - 10.1109/ISSCC49657.2024.10454470
M3 - Conference contribution
AN - SCOPUS:85188141177
T3 - Digest of Technical Papers - IEEE International Solid-State Circuits Conference
SP - 112
EP - 114
BT - 2024 IEEE International Solid-State Circuits Conference, ISSCC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Solid-State Circuits Conference, ISSCC 2024
Y2 - 18 February 2024 through 22 February 2024
ER -