Neuron-Inspired Time-of-Flight Sensing via Spike-Timing-Dependent Plasticity of Artificial Synapses.
Minseong ParkYuan YuanYongmin BaekAndrew H. JonesNicholas LinDoeon LeeHee Sung LeeSihwan KimJoe C. CampbellKyusang LeePublished in: Adv. Intell. Syst. (2022)
Keyphrases
- time of flight
- synaptic weights
- synaptic plasticity
- spiking neural networks
- biologically plausible
- artificial neural networks
- biologically inspired
- infrared
- depth images
- neural network model
- neural network
- spiking neurons
- depth information
- stereo vision
- range data
- high accuracy
- feed forward
- depth map
- spike trains
- input patterns
- high resolution
- tof camera
- real time
- learning rules
- sensor networks
- depth data
- input pattern
- multispectral
- image data
- spatial resolution