Modules | |
Anti-Simmetry Control | |
Brings a system out froma simmetry. | |
Binary registration | |
Binary registration algorithms. | |
Feature extraction from camera view | |
Algorithm to extract features from a camera view. | |
Feature extraction on Scan | |
Collection of feature extraction algorithms on 2D Scan. | |
Recursive Filters | |
This module provides simple classes for recursive filters. | |
Extended Kalman (EK) filter for the UAV localization task via camera and IMU | |
TODO. | |
Formation control algorithms | |
Formation control algorithms. | |
Laser Navigation | |
Simple laser navigation algorithm. | |
Multiple registration | |
Multi registration algorithm. | |
Mutual localization | |
Filter for the mutual localization. | |
Obstacle avoidance | |
Obstacle avoidance algorithms. | |
Odometry | |
This module provides a simple class for the integration of encoders lectures, giving back the new pose of the mobile robot. | |
Visual tracking | |
Performs visual tracking for specified features. | |
Passivity algorithms | |
Passivity algorithms. | |
Probability Hypotesis Density (PHD) Filter | |
This module provides ambstract classes and implementation for the Probability Hypotesis Density Filter for multi-target tracking in a 2-dimensional scenario. A standard interface for this tipe of filter is provided through a collection of abstract classes. The following implementation of the PHD Filter are also provided: - Gaussian Mixture . | |
Trajectory control | |
Trajectory control algorithms. | |
Uav control | |
Uav control algorithms. | |
Kalman Filter Visual Navigation | |
View-point planner algorithms. | |
Voronoi | |
Voronoi algorithms. | |
View-point planner | |
View-point planner algorithms. | |
Path planner | |
Path planner algorithms. |
Classes collection of robotics algorithms, e.g., geometric and sensor data processing (Voronoi diagrams, feature extraction,...), estimate (Kalman filtering, particle filtering,...), control (trajectory control, obstacle avoidance,...).