Neural Network Navigation Technique for Unmanned Vehicle
| Main Authors: | Selma, Boumediene; University of Science and Technology "Mohamed Boudiaf" USTO Oran, Chouraqui, Samira; University of Science and Technology "Mohamed Boudiaf" USTO Oran |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Institute of Advanced Engineering and Science
, 2014
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| Online Access: |
http://journal.portalgaruda.org/index.php/EEI/article/view/291 http://journal.portalgaruda.org/index.php/EEI/article/view/291/pdf |
Daftar Isi:
- 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.