Neural Network Navigation Technique for Unmanned Vehicle

Boumediene Selma (University of Science and Technology "Mohamed Boudiaf" USTO Oran)
Samira Chouraqui (University of Science and Technology "Mohamed Boudiaf" USTO Oran)

Bulletin of Electrical Engineering and Informatics
Vol 3, No 3: September 2014

Using a neural network (ANN) for the brain, we want a vehicle to drive by itself avoiding obstacles. We accomplish this by choosing the appropriate inputs/outputs and by carefully training the ANN. We feed the network with distances of the closest obstacles around the vehicle to imitate what a human driver would see. The output is the acceleration and steering of the vehicle. We also need to train the network with a set of strategic input-output. The result is impressive, for a couple of neurons! The unmanned vehicle (UV) drives around avoiding obstacles, but some improvement or modification can be done to make this software work for a specific purpose.