Microphone System Based Path Following Control of Quadrotor Unmanned Vehicle Autonomous Flight

Currently, interest in autonomous driving of small quadrotors in various ways is increasing. In most cases, quad-rotor autonomous driving is mainly performed with vision data acquired using cameras. However, this method is challenging to implement in an environment where using a camera is difficult, such as in a space with insufficient light. In this work, we designed a low-cost autonomous-driving system for a drone using a microphone sensor instead of vision data using a camera. The microphones are connected to a data acquisition system (DAQ) to read data, and the laptop connected to the DAQ controls the operation of the drone using the data values in real time. We used a microphone sensor to measure the sound of the quadrotor to estimate its position and set up several flight paths to test the autonomous flight of quadrotor. Unlike drones that use vision data, our research has presented a new method in the field of quadrotor autonomous driving by implementing autonomous driving of drones using a microphone sensor.