Poster Abstract: Hybrid and Adaptive Drone Identification through Motion Actuation and Vision Feature Matching
Carlos Ruiz, Xinlei Chen, Pei Zhang · Information Processing in Sensor Networks · 2017
Unmanned aerial vehicle (UAV) swarms provide situation awareness in potential life-threatening tasks such as emergency response, search and rescue, etc. However, most of these scenarios take place in GPS-denied environments, where accurately localizing each UAV is challenging. Heterogeneous UAV swarms, in which only a subset of the drones carry cameras, face the additional challenge of identifying each individual UAV in order to avoid sending position updates to the wrong drone, thus crashing. This work presents an identification mechanism based on the correlation between motion observed from an external camera, and the acceleration measured on each UAV’s accelerometer.