A visual protocol for autonomous landing of unmanned aerial vehicles based on fuzzy matching and evolving clustering.
Bruno Sielly Jales CostaVitor Rodrigues GreatiVinicius Campos Tinoco RibeiroCelso Soares da SilvaIvanilson Franca VieiraPublished in: FUZZ-IEEE (2015)
Keyphrases
- unmanned aerial vehicles
- autonomous systems
- path planning
- fuzzy clustering
- clustering algorithm
- search and rescue
- clustering method
- fuzzy sets
- visual information
- k means
- human operators
- fuzzy logic
- fuzzy rules
- aerial vehicles
- control algorithm
- dynamic environments
- visual features
- membership functions
- machine learning
- real time
- ground truth
- fuzzy controller
- mobile robot
- obstacle avoidance
- collision avoidance
- object recognition
- cooperative
- artificial intelligence