Neue neuronale Technologie könnte intelligente Flugroboter in Insektengröße antreiben | Das System nutzt ein fünfschichtiges Spiking-Neuronales Netzwerk mit 28.800 Neuronen, um ereignisbasierte Rohdaten der Kamera zu analysieren und die 3D-Bewegung der Kamera abzuschätzen.

From the article: 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.

“The neuromorphic processor consumes only 0.94 watts of idle power and an additional 7-12 milliwatts while running the network,” said reseachers in a statement.

The vision-to-control pipeline enabled on a drone allowed it to autonomously control its position in space to hover, land, and maneuver sideways.