Towards a Reliable and Lightweight Onboard Fault Detection in Autonomous Unmanned Aerial Vehicles
Sai Srinadhu Katta,Eduardo Kugler Viegas,Sai Srinadhu Katta,Eduardo Kugler Viegas
This paper proposes a new model for onboard physical fault detection on autonomous unmanned aerial vehicles (UAV) through machine learning (ML) techniques. The proposal performs the detection task with high accuracies and minimal processing requirements while signaling an unreliable ML model to the operator, implemented in two main phases. First, a wrapper-based feature selection is performed to d...
