Pixel-correlated computing for detecting and tracking targets in dim lighting
Author:
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41928-024-01125-z.pdf
Reference5 articles.
1. Gouveia, L. C. P. & Choubey, B. Advances on CMOS image sensors. Sensor Rev. 36, 231–239 (2016). An introduction to the technological advances of CMOS image sensors.
2. Wang, C.-Y. et al. Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor. Sci. Adv. 6, eaba6173 (2020). This paper reports a bioinspired retinomorphic vision sensor.
3. Liu, G. et al. Graphene-assisted metal transfer printing for wafer-scale integration of metal electrodes and two-dimensional materials. Nat. Electron. 5, 275–280 (2022). This paper reports a general approach for the large-scale integration of devices based on arrays of low-dimensional materials.
4. Akinwande, D. et al. Graphene and two-dimensional materials for silicon technology. Nature 573, 507–518 (2019). A review article that presents the progress and challenges of integrating two-dimensional materials with silicon-based nanosystems.
5. Yuan, S. et al. Geometric deep optical sensing. Science 379, eade1220 (2023). This review article outlines the advances in optical sensing and imaging achieved with reconfigurable sensors.
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