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Neuromorphic Vision Sensors
Abstract
Vision is one of the most useful sensory functions, but the real-time processing of the continuous, high-dimensional input signals provided by vision sensors is a major challenge in robot design. Conventional digital vision sensors tend to have excessive power consumption, size, and cost for useful applications. In this TechView, Indiveri and Douglas discuss an alternative strategy, namely neuromorphic vision sensors that are based on biological vision systems. In these sensors, specialized sensory processing functions inspired by biological systems such as fly eyes are integrated in parallel, asynchronous circuits that respond in real time. These sensors offer significant advantages over conventional vision sensors.
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Cited by
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
Large-Area Soft e-Skin: The Challenges Beyond Sensor Designs
Dahiya, R., Yogeswaran, N., Liu, F., Manjakkal, L., Burdet, E., Hayward, V., & Jörntell, H. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2941366 · Cited by 309
Metadata
- Authors
- Indiveri, G., & Douglas, R.
- Venue
- Science
- Published
- 2000-05-19
- Volume
- 288
- Issue
- 5469
- Pages
- 1189-1190
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2049989540
- Cited by
- 167
- References
- 0
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- closed
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