Localisation
Ces exemples appliquent des techniques de fusion de capteurs et de filtrage pour localiser les plates-formes à l'aide des données IMU, GPS et caméra.
Sélection d՚exemples
Gesture Recognition Using Inertial Measurement Units
Recognize gestures based on a handheld inertial measurement unit (IMU). Gesture recognition is a subfield of the general Human Activity Recognition (HAR) field. In this example, you use quaternion dynamic time warping and clustering to build a template matching algorithm to classify five gestures.
IMU and GPS Fusion for Inertial Navigation
How you might build an IMU + GPS fusion algorithm suitable for unmanned aerial vehicles (UAVs) or quadcopters.
Estimate Position and Orientation of a Ground Vehicle
Estimate the position and orientation of ground vehicles by fusing data from an inertial measurement unit (IMU) and a global positioning system (GPS) receiver.
Visual-Inertial Odometry Using Synthetic Data
Estimate the pose (position and orientation) of a ground vehicle using an inertial measurement unit (IMU) and a monocular camera. In this example, you:
