Application of Echolocation Signal Processing for Collision Avoidance of a Remote Controlled Reconnaissance System

Low visibility in disaster sites hinders rescuers from successful rescue operations without casualties. A remote-controlled reconnaissance system is proposed in this research. Compared to traditional surveying of the area, UAVs are easier to use and can quickly survey the area by having an aerial view. The reconnaissance system was designed using Arduino Mega and UNO modules and achieved a collision-avoidance system. Four (4) ultrasonic sensors were used for the four directions: north, south, east, and west, all calibrated with an average error percentage of 1.75%. The data from the ultrasonic sensors will go straight through the drone’s remote control, which will automatically evade the drone when it encounters a collision. Results have shown that the collision avoidance system is applicable in low-visibility rescue operations.