A 128$\times$ 128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
By P. Lichtsteiner, Christoph Posch, Tobi Delbruck. 2008
1,270 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Shih-Chii Liu
- Giacomo Indiveri
- Michael Pfeiffer
- Garrick Orchard
- Friedemann Zenke
- Tobi Delbruck
- Timothée Masquelier
- Ryad Benosman
In Electrical and Electronic Engineering
- Michael Pfeiffer
- Shih-Chii Liu
- Garrick Orchard
- Giacomo Indiveri
- Timothée Masquelier
- Tobi Delbruck
- Daniel Neil
- Matthew Cook
Citations in the corpus
- CIFAR10-DVS: An Event-Stream Dataset for Object Classification (2017, methodology): “Neuromorphic vision based on neuromorphic cameras (Delbruck, 2008; Lichtsteiner et al., 2008; Serrano-Gotarredona and Linares-Barranco, 2013; Yang et al., 2015) which converts visual information to address-event-representation (AER; Boahen, 2000) event streams has garnered increasing attention.”
- DDD17: End-To-End DAVIS Driving Dataset (2017, methodology): “Because the DVS event rate is proportional to the rate of change of brightness, i.e. scene reflectance (Lichtsteiner et al., 2008), the CNN frame rate is variable, ranging from about 1 fps up to 1000 fps. Moeys et al. (2016) showed that combining the standard image sensor frames from the sensor…”