TDC Sharing in SPAD-Based Direct Time-of-Flight 3D Imaging Applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
TDC specifications are critical determinants of the range, resolution, and accuracy of SPAD-based TCSPC 3D imaging systems. In particular, the TDC conversion time plays a vital role in emerging architectures wherein TDCs are shared across the sensor array. Here, a statistical analytical model is employed to relate the number of required TDCs per SPAD array to the 3D image accuracy and frame rate, taking into account environmental factors such as ambient light and distance. The model verifies that sharing schemes, contrary to TDC-per-SPAD scheme, can improve efficient use of area and power, and it also permits TDC sharing architectural exploration to determine the number of TDCs required for given array size. Monte Carlo numerical simulations verify the accuracy of the proposed method.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it