A High-Resolution Solid-State LiDAR Sensor With Reconfigurable Histogramming Time-to-Digital Converter and Filter for Depth Refinement

An area-efficient, high-resolution CMOS light detection and ranging (LiDAR) capable of generating <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$400 \times 112$</tex-math> </inline-formula> depth images is proposed. This sensor employs a rolling-scan architecture that is compatible with a row-addressable solid-state LiDAR system. To achieve high resolution, a single-photon avalanche diode (SPAD) analog front-end (AFE) circuit was implemented using only five nMOS transistors. A reconfigurable-resolution (RR) hTDC, capable of converting one-/two-channel signals with variable time resolutions of 1, 2, or 4 ns, is further proposed to implement a 400-channel histogramming time-to-digital converter (hTDC) with low memory overhead. The sensor leverages RR-hTDC to support two image resolution modes: macro and quadruple resolution (QR). In the macro mode, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$200 \times 56$</tex-math> </inline-formula> depth images can be acquired with a 1-ns time resolution. In the QR mode, the sensor can achieve <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$400 \times 112$</tex-math> </inline-formula> high-resolution depth images with a 2-ns time resolution. In the range-enhanced (RE) mode, the time resolution is halved for distances beyond 100 m, enabling the detection range to be extended up to 200m. A laser profile-based depth refining (DR) filter was used to compensate for the reduction in time resolution and ensure sub-centimeter time resolution, improving depth precision by 40% compared with the conventional QR mode. The prototype LiDAR sensor was fabricated as a 90-nm CMOS image sensor (CIS) process. In outdoor conditions under 135-klx sunlight, the worst case depth precision and accuracy for distances of 15–60 m were measured as 10 and 17 cm, respectively. Moreover, a relative precision of less than 0.18% was achieved over a 60–130-m range under 90-klx sunlight. The total power consumption of the sensor was measured to be 572 mW when operating at 20 frames/s under 70-klx sunlight.

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Publication Details

Journal
IEEE Journal of Solid-State Circuits
Published
2025-06-03
DOI
https://doi.org/10.1109/jssc.2025.3571446
Citations
3
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
3.58
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article

A High-Resolution Solid-State LiDAR Sensor With Reconfigurable Histogramming Time-to-Digital Converter and Filter for Depth Refinement

H. Seo, Jung‐Hoon Chun, Myung-Jae Lee, Canxing Piao et al.
3 citations
IEEE Journal of Solid-State Circuits
Advanced Optical Sensing Technologies
3.58
article

A High-Resolution Solid-State LiDAR Sensor With Reconfigurable Histogramming Time-to-Digital Converter and Filter for Depth Refinement

H. Seo, Jung‐Hoon Chun, Myung-Jae Lee, Canxing Piao, Won B. Roh, M. S. Kim, Heesung Lee, Jaehyuk Choi, Seong‐Jin Kim, Taehoon Jeon
article en
3 citations

Abstract

An area-efficient, high-resolution CMOS light detection and ranging (LiDAR) capable of generating <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$400 \times 112$</tex-math> </inline-formula> depth images is proposed. This sensor employs a rolling-scan architecture that is compatible with a row-addressable solid-state LiDAR system. To achieve high resolution, a single-photon avalanche diode (SPAD) analog front-end (AFE) circuit was implemented using only five nMOS transistors. A reconfigurable-resolution (RR) hTDC, capable of converting one-/two-channel signals with variable time resolutions of 1, 2, or 4 ns, is further proposed to implement a 400-channel histogramming time-to-digital converter (hTDC) with low memory overhead. The sensor leverages RR-hTDC to support two image resolution modes: macro and quadruple resolution (QR). In the macro mode, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$200 \times 56$</tex-math> </inline-formula> depth images can be acquired with a 1-ns time resolution. In the QR mode, the sensor can achieve <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$400 \times 112$</tex-math> </inline-formula> high-resolution depth images with a 2-ns time resolution. In the range-enhanced (RE) mode, the time resolution is halved for distances beyond 100 m, enabling the detection range to be extended up to 200m. A laser profile-based depth refining (DR) filter was used to compensate for the reduction in time resolution and ensure sub-centimeter time resolution, improving depth precision by 40% compared with the conventional QR mode. The prototype LiDAR sensor was fabricated as a 90-nm CMOS image sensor (CIS) process. In outdoor conditions under 135-klx sunlight, the worst case depth precision and accuracy for distances of 15–60 m were measured as 10 and 17 cm, respectively. Moreover, a relative precision of less than 0.18% was achieved over a 60–130-m range under 90-klx sunlight. The total power consumption of the sensor was measured to be 572 mW when operating at 20 frames/s under 70-klx sunlight.

IEEE Journal of Solid-State CircuitsVol. 60(10)
Solid (South Korea) (KR), Ulsan National Institute of Science and Technology (KR), Korea Institute of Science and Technology (KR), Sungkyunkwan University (KR)
Affordable and clean energy
Openalex Percentile: Top 8%
Advanced Optical Sensing Technologies
3.58
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