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Turkish Unmanned Vehicle Programs

With so many uav, you need a central surveillance system that identifies every flyingeniør uav. Continuously and anti uav antennes. It’ll become dangerously easy to conduct terroism if it’s unregulated.
 
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They've really done well in refining the unmanned ground vehicle!
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Back to the Future: Autonomous Technology

AUTONOMOUS DRONES

Autonomous 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 Autonomy
According 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: STM

STM 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/
 
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Hm.. just speculating, but what AI like skynet do we have. Wouldn’t we be able to feed such AI with data so it’s algorithms would be able to identify objectives with similarities?

I mean up in kandil we’d mostly find... targets.
 
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Turkey’s HAVELSAN develops unmanned ground vehicle, sets sights on herd intelligence
BY DAILY SABAH WITH AA
ISTANBUL DEFENSE
JUN 01, 2020 10:00 PM GMT+3

A prototype of Turkish defense and software company HAVELSAN's unmanned ground vehicle. (AA Photo)



Turkey’s leading defense company HAVELSAN has completed the development of its unmanned ground vehicle (UGV) and has turned its attention to developing herd intelligence for unmanned land, air and underwater vehicles to allow them to operate in a coordinated way.

HAVELSAN Education and Simulation Technologies Vice General Management has been working on autonomous systems since 2018. In this context, research and development (R&D) projects were carried out in the fields of Swarm Robotic Flying Systems and Robotic and Autonomous Land Systems.

The medium-level UGV prototype was designed and developed in a short period of time in 2019 as a result of those projects.

The unmanned vehicle was developed as a robust unit, with its compatibility with the physical environment as well as its engine control system, battery monitoring system, environmental sensors such as LIDAR and RADAR, data fusion unit, artificial intelligence module, health condition monitoring system, and camera and imaging systems.

The HAVELSAN UGV has a length of 150 centimeters, a width of 100 cm, a height of 60 cm and a weight of 350 kilograms. The vehicle, powered by an electric motor, can reach a speed of up to 7 kph.





Mehmet Akif Nacar, the deputy general manager of the HAVELSAN Education and Simulation Technologies Department, told Anadolu Agency (AA) that the company has achieved important developments in the field since the initial exhibition of the UGV at the International Defense Industry Fair (IDEF) held last year in Istanbul.

Nacar stated that they are carrying out R&D studies with their own resources on autonomous systems and aim to develop autonomous vehicles in four different categories: land, air, surface and underwater.

Herd intelligence

The defense and software company has also started tests related to herd intelligence and has developed an algorithm, Nacar said.

“Rather than the autonomous operation of a single vehicle, we aim to develop herd intelligence” that will allow a group of vehicles to operate in a coordinated way, he said.

Various tests, including those related to tasks, were carried out on the ground vehicle, especially regarding operations in adverse outdoor conditions such as snow, mud and rain.

Nacar said the vehicle performed well in all conditions and they are now working on developing new systems using similar technologies in unmanned aerial, underwater and surface vehicles.

Stating that they are carrying out studies on autonomous vehicles with the concept of “joint operations,” Nacar said: "We will do this phase by phase. It is an important technological development. We will start with unmanned ground vehicles, then we will continue with air and water vehicles. Since we will use the same protocols, algorithms and systems in all of them, we will be able to plan them as a single system that can communicate with each other and coordinate with their subsystems.”

He added that the ground vehicle is very close to mass production following the qualification tests.


https://www.dailysabah.com/business...ound-vehicle-sets-sights-on-herd-intelligence
 
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