Back to the Future: Autonomous TechnologyAUTONOMOUS DRONESAutonomous systems are an integral part of warfare and used for multiple roles during or prior to an operation. An autonomous aerial vehicle is capable of collecting intelligence, surveillance or reconnaissance. Even opted by non- state actors, UAVs have been presumed to lack the tenacity humans possess. Unreliable as UAVs are said to be, there have hitherto been a variety of trials to make them a platform that can match wits with humans, reaping the fruits of AI-powered systems in order to lower the burden and risks of using humans in the field.
Levels of AutonomyAccording to NATO, levels of autonomy of UAVs are categorized as:
Level 1: Remotely Controlled System – System reactions and behaviour depend on operator input Level 2: Automated System – Reactions and behaviour depend on fixed built-in functionality (preprogrammed)
Level 3: Autonomous non-learning system – Behaviour depends upon fixed built-in functionality or upon a fixed set of rules that dictate system behaviour (goal-directed reaction and behaviour).
Level 4: Autonomous learning system with the ability to modify rules defining behaviours – Behaviour depends upon a set of rules that can be modified for continuously improving goal directed reactions and behaviours within an overarching set of inviolate rules/behaviours.
In operating UAVs, the duration of OODA -the loop of orient, observe, decide and act- loop sets the level an operator may partake in. Level of autonomy is measured by the moment ‘the button’ is pushed.
Turkey and Autonomous Drones: STMSTM offers a wide range of products with autonomous navigation, learning and decision making capabilities, both in a single-platform and swarm formation. STM’s competence on deep learning and computer vision facilitates real-time object detection, identification, tracking and classification.
Capabilities | Competences
High performance autonomous dispatch and control algorithms
Artificial intelligence
Machine learning
Sophisticated computer vision and deep learning algorithms
Vision-based control
Embedded and real-time object tracking, detection and classification
Real-time obstacle detection and avoidance
Real-time localization and mapping
Platform-tailored, advanced electronic ammunition safety, arm and fire
More details at: https://en.defenceturk.net/back-to-the-future-autonomous-technology/