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Collision avoidance using a model of the locust LGMD neuron

8 years 5 months ago
Collision avoidance using a model of the locust LGMD neuron
The lobula giant movement detector (LGMD) system in the locust responds selectively to objects approaching the animal on a collision course. In earlier work we have presented a neural network model based on the LGMD system which shared this preference for approaching objects. We have extended this model in order to evaluate its responses in a real-world environment using a miniature mobile robot. This extended model shows reliable obstacle detection over an eight-fold range of speeds, and raises interesting questions about basic properties of the biological system.
Mark Blanchard, F. Claire Rind, Paul F. M. J. Vers
Added 19 Dec 2010
Updated 19 Dec 2010
Type Journal
Year 2000
Where RAS
Authors Mark Blanchard, F. Claire Rind, Paul F. M. J. Verschure
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