Self-Organizing Map approach to determining compromised solutions for multi-objective UAV path planning.
Djamalladine Mahamat PierreM. Nordin ZakariaAnindya Jyoti PalPublished in: ICARCV (2012)
Keyphrases
- path planning
- self organizing maps
- multi objective
- mobile robot
- neural network
- path planning algorithm
- dynamic environments
- collision avoidance
- unmanned aerial vehicles
- multi robot
- optimal path
- evolutionary algorithm
- unsupervised learning
- obstacle avoidance
- probabilistic neural network
- motion planning
- genetic algorithm
- aerial vehicles
- autonomous vehicles
- degrees of freedom
- learning vector quantization
- collision free
- multiple robots
- search and rescue
- potential field
- robot path planning
- som neural network
- growing self organizing map
- particle swarm optimization
- input data
- supervised learning
- optimal solution
- path planner
- objective function
- dynamic and uncertain environments