Progress of Materials and Devices for Neuromorphic Vision Sensors
Nano-Micro Letters, ISSN: 2150-5551, Vol: 14, Issue: 1, Page: 203
2022
- 62Citations
- 48Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations62
- Citation Indexes62
- 62
- CrossRef2
- Captures48
- Readers48
- 48
Review Description
The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords: smaller, faster, and smarter. (1) Smaller: Devices are becoming more compact by integrating previously separated components such as sensors, memory, and processing units. As a prime example, the transition from traditional sensory vision computing to in-sensor vision computing has shown clear benefits, such as simpler circuitry, lower power consumption, and less data redundancy. (2) Swifter: Owing to the nature of physics, smaller and more integrated devices can detect, process, and react to input more quickly. In addition, the methods for sensing and processing optical information using various materials (such as oxide semiconductors) are evolving. (3) Smarter: Owing to these two main research directions, we can expect advanced applications such as adaptive vision sensors, collision sensors, and nociceptive sensors. This review mainly focuses on the recent progress, working mechanisms, image pre-processing techniques, and advanced features of two types of neuromorphic vision sensors based on near-sensor and in-sensor vision computing methodologies. [InlineMediaObject not available: see fulltext.].
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85139834055&origin=inward; http://dx.doi.org/10.1007/s40820-022-00945-y; http://www.ncbi.nlm.nih.gov/pubmed/36242681; https://link.springer.com/10.1007/s40820-022-00945-y; https://dx.doi.org/10.1007/s40820-022-00945-y; https://link.springer.com/article/10.1007/s40820-022-00945-y
Springer Science and Business Media LLC
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