Not it’s time to talk about the integration of multiple layers of Ai to build the Autonomous Drones

As we started posting relevant subjects about Ai applied to Drones, on the last two articles of this blog we exposed a Drone Tracking Cars ramdonly and identifying and classifying different objects with video examples.

As a continuation of latest posts in this blog we want to show and explain how Autonomous Drones are formed from what we considered the two different layers of Ai integrated.

AI in Autonomous Drones: A Technological Breakthrough

Autonomous drones are rapidly becoming an important part of our daily lives. These unmanned aerial vehicles (UAVs) use artificial intelligence and robotics to operate without the need for a human pilot. In this blog post, we will explore the workings of autonomous drones, their applications, advantages, and challenges.

How Autonomous Drones Work

Autonomous drones rely on advanced technologies such as artificial intelligence, machine learning, and computer vision to operate. They use sensors to gather information about their surroundings and make decisions based on that data. In addition, they use GPS and other location-based technologies to navigate and avoid obstacles.

Layer 1 and 2, what they are and what they do

As we like to call Layer 1 is the algorithm that controls the drone’s trajectory while it’s flying autonomously towards a certain target, this layer will receive information about the enviroment and by reading the point cloud generated by the dual vision camera will predict and decide what is the best path to avoid and surpass a certain obstacle.

Layer 2 is the algorithm that is reading the dense pixels coming from the main onboard camera recognizing and tracking the target as it moves.

The two layers gets integrated when the L2 tells L1 where it should be flying in order to keep the target on screen and L1 is flying the path without hitting anything

Car Tracking Example: Xdynamics Field Tests

Without any more theorical explanations we want to share with you our developing code on Evolve2, This feature is yet not available for commercial sales but we love to share the passion we have for our future developments as well to share the sucessful tests. You will notice that the quick corrections on the flight path are actually Layer 1 avoiding trees on the sides and keeping the target on screen,

In the video below you will see we selected a car as a moving target and the Drone is following, as the car attempts to drive faster the drone speeds up (Evolve 2 can reach up to 60 mph) and bounces around avoiding trees and buildings in the vicinity.

Autonomous drones are transforming the way we live and work. Their ability to operate without human pilots brings numerous benefits, but also presents several challenges. As technology continues to advance, we can expect to see more widespread adoption of autonomous drones in various industries, making our lives easier, safer, and more efficient.

How are the Military Autonomous Drones nowadays?

Military autonomous drones have advanced significantly in recent years. They are equipped with advanced technologies such as artificial intelligence, machine learning, and computer vision that enable them to operate autonomously without human intervention.

Modern military drones can perform a variety of tasks such as reconnaissance, surveillance, target acquisition, and even strike missions. They are capable of flying long distances and staying in the air for extended periods of time, making them ideal for monitoring and tracking enemy movements.

In addition, military autonomous drones are becoming more sophisticated in their ability to detect and avoid obstacles, as well as navigate in complex environments. They can also communicate with each other and with ground-based control systems to coordinate their actions and optimize their performance.

Despite their advanced capabilities, there are also concerns about the potential risks associated with military autonomous drones. These include the possibility of unintended consequences, such as civilian casualties or accidental damage to infrastructure. As a result, there is ongoing debate about how best to regulate and control the use of these technologies in military contexts.