The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor
Open accessAbstract
Event-based dynamic vision sensors (DVSs) asynchronously report log intensity changes. Their high dynamic range, sub-ms latency and sparse output make them useful in applications such as robotics and real-time tracking. However they discard absolute intensity information which is useful for object recognition and classification. This paper presents a dynamic and active pixel vision sensor (DAVIS) which addresses this deficiency by outputting asynchronous DVS events and synchronous global shutter frames concurrently. The active pixel sensor (APS) circuits and the DVS circuits within a pixel share a single photodiode. Measurements from a 240×180 sensor array of 18.5 μm 2 pixels fabricated in a 0.18 μm 6M1P CMOS image sensor (CIS) technology show a dynamic range of 130 dB with 11% contrast detection threshold, minimum 3 μs latency, and 3.5% contrast matching for the DVS pathway; and a 51 dB dynamic range with 0.5% FPN for the APS readout.
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Cites
A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
Lichtsteiner, P., Posch, C., & Delbruck, T. (2008) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2007.914337 · Cited by 2,485
Cited by
Gallego, G., Delbruck, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A. J., Conradt, J., Daniilidis, K., et al. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3008413 · Cited by 2,566
A Low Power, Fully Event-Based Gesture Recognition System
Amir, A., Taba, B., Berg, D., Melano, T., McKinstry, J., Di Nolfo, C., Nayak, T., Andreopoulos, A., Garreau, G., Mendoza, M., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.781 · Cited by 1,017
Self-citationAdvancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
Davies, M., Wild, A., Orchard, G., Sandamirskaya, Y., Guerra, G. A. F., Joshi, P., Plank, P., & Risbud, S. R. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3067593 · Cited by 688
Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera
Kim, H., Leutenegger, S., & Davison, A. J. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46466-4_21 · Cited by 438
Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor
Wang, C.-Y., Liang, S.-J., Wang, S., Wang, P., Li, Z., Wang, Z., Gao, A., Pan, C., Liu, C., Liu, J., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba6173 · Cited by 452
Metadata
- Authors
- Brandli, C., Berner, R., Yang, M., Liu, S.-C., & Delbruck, T.
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2014-10
- Volume
- 49
- Issue
- 10
- Pages
- 2333-2341
- ISSN
- 0018-9200 (ISSN-L)
- 1558-173X
- OpenAlex
- W206948248
- Cited by
- 1,144
- References
- 1
- FWCI
- 13.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Brandli, C., Berner, R., Yang, M., Liu, S.-C., & Delbruck, T. (2014). A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor. IEEE Journal of Solid-State Circuits. https://doi.org/10.1109/jssc.2014.2342715
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