| Popis: |
Autonomous drones can detect and avoid walls as the technology stands today, but they can only do this with camera, ultrasonic, or laser sensors. This paper highlights how data mining classification techniques can be used to predict which side of a drone an object is located from the air disturbance created by the drone being near such an object. Data was collected from the drone’s IMU, while it flew near a wall to its immediate left, right, and front. The IMU includes gyroscope, accelerometer, roll, pitch, and yaw data. Position and barometer data was also collected. The data was then fed to NearestNeighbor, GradientBoosting, and RandomForest classifiers. |
