Unsupervised Anomaly Detection for Self-flying Delivery Drones
Vikas Sindhwani,Hakim Sidahmed,Krzysztof Choromanski,Brandon Jones,Vikas Sindhwani,Hakim Sidahmed,Krzysztof Choromanski,Brandon Jones
We propose a novel anomaly detection framework for a fleet of hybrid aerial vehicles executing high-speed package pickup and delivery missions. The detection is based on machine learning models of normal flight profiles, trained on millions of flight log measurements of control inputs and sensor readings. We develop a new scalable algorithm for robust regression which can simultaneously fit predic...
