Event-Based Emergency Detection for Safe Drone

Quadrotor drones have rapidly gained interest recently. Numerous studies are underway for the commercial use of autonomous drones, and distribution businesses especially taking serious reviews on drone-delivery services. However, there still many concerns about urban drone operations. The risk failures accidents makes it difficult to provide drone-based services in real world with ease. There been that introduced supplementary methods handle emergencies. we discovered limitation existing methods. Most approaches were improving PID-based control algorithms, which is dominant drone-control method. This type low-level approach lacks situation awareness ability unexpected situations. study introduces an event-based methodology takes a high-level diagnosing can implement via time-window. While controllers left operate most time normal situations, our controller operates at higher level detects behaviors abnormal situations drone. We tested method real-time 3D computer simulation environments several cases, was able detect emergencies typical PID not handle. verify enhanced double safety better ensure safe hope discovery possibly contribute advance real-world near future.