A probabilistic approach for designing nonlinear optimal robust tracking controllers for unmanned aerial vehicles.
Paulo André Sperandio GiacominElder Moreira HemerlyWitold PedryczPublished in: Appl. Soft Comput. (2015)
Keyphrases
- robust tracking
- unmanned aerial vehicles
- tracking control
- particle filter
- dynamic programming
- body parts
- partial occlusion
- kalman filter
- mean shift
- object tracking
- human operators
- optimal solution
- search and rescue
- image sequences
- path planning
- image processing
- image classification
- object detection
- image analysis
- reinforcement learning