Condition-aware systems: towards real-time health monitoring of unmanned vehicles

This paper presents an overview of the technologies and computational strategies that we are developing at Politecnico di Torino to move most of the vehicle health monitoring from offline to online, real-time execution. This will ease the wide adoption of unmanned vehicles in critical operational scenarios, by improving their availability and their mission reliability. Our research addresses the sensor technologies to acquire the data necessary for health monitoring, and the computational strategies required to process such large amount of data in real-time. Our tests showed promising results, suggesting the feasibility of a robust, real-time UxV health monitoring system.