Researchers have developed a neuromorphic vision-to-control mechanism that makes autonomous drone flights possible.
Neuromorphic systems mimic the brain’s biological processing via spiking neural networks.
For the project, a Delft University of Technology team in the Netherlands developed a five-layer spiking neural network comprising 28,800 neurons to process raw, event-based camera data. This network maps incoming raw events to estimate the camera’s 3D motion within its environment.
Researchers claim that compared to other vision-based drone flight systems that employ artificial neural networks, the new system is more compact and energy-efficient.
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