상세 보기
- Roh, Wonjong;
- Seo, Hyeongseok;
- Piao, Canxing;
- Kim, Minkyung;
- Jeon, Taehoon;
- ... Chun, Jung-Hoon;
- ... Choi, Jaehyuk;
- 외 3명
WEB OF SCIENCE
1SCOPUS
1초록
An area-efficient, high-resolution CMOS light detection and ranging (LiDAR) capable of generating 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, depth images can be acquired with a 1-ns time resolution. In the QR mode, the sensor can achieve 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.
키워드
- 제목
- A High-Resolution Solid-State LiDAR Sensor With Reconfigurable Histogramming Time-to-Digital Converter and Filter for Depth Refinement
- 저자
- Roh, Wonjong; Seo, Hyeongseok; Piao, Canxing; Kim, Minkyung; Jeon, Taehoon; Lee, Heesung; Lee, Myung-Jae; Chun, Jung-Hoon; Kim, Seong-Jin; Choi, Jaehyuk
- 발행일
- 2025-06
- 유형
- Article; Early Access
- 권
- 60
- 호
- 10
- 페이지
- 3665 ~ 3681