Using only on -board sensors and cameras, a team of scientists led by Professor Julián Estévez, an industrial engineer at the University of the Basque Country (UPV/EHU), developed an innovative, cheap collision avoidance system intended for this Prevent air collisions between unmanned aerial vehicles (UAV). This new technology is to play a key role in the future of drone surgery, in which the airspace is increasingly crowded with UAV performing various services.
The new system is based on the principles of computer vision and color identification. Unlike many existing anti -collision systems that require drones to communicate with each other, this new approach is based only on on -board sensors and cameras. The key innovation is the simplicity and profitability of the solution. Each drone is equipped with a camera that detects the presence of other drones, identifying the connected red cards to them. The camera screen is divided into two halves, and analyzing on which side the red color dominates, the drone autonomously decides which direction should be taken to avoid collision.
According to the developed system, when the percentage of red on the screen means that drones are approaching each other. After exceeding a specific threshold, the robot knows that he must perform a maneuver of avoidance. All this happens autonomously, without any human intervention. This is a simple way to prevent collisions and can be performed by cheap sensors and equipment.
This technology has been approved in laboratory conditions and is ready for use in the real world. The research team tested its system using AR Drone 2.0 drones from Parrot, a French manufacturer known for producing light and inexpensive drones. These tests have shown that the system can effectively prevent collisions, even in difficult conditions, such as uncontrolled lighting and drones flying from different directions.
The simplicity and effectiveness of this approach could have far -reaching implications for the drone industry. As the drone market develops, it is needed by fully autonomous navigation systems is becoming more and more burning. The work of Professor Estévez is a step towards this direction – a fully autonomous navigation without any human intervention, so that the drones can decide which maneuver to take, which direction should be taken, thus preventing collision or with other obstacles.
The potential applications of this technology are huge. In addition to commercial drone operations, it can be used in various sectors, including in the field of public safety, logistics, agriculture and even flying recreational drones. The development of such collision avoidance systems is of key importance to ensuring that drones can safely move complex environments, unlocking full potential in various industries.
Integration of advanced QDATA drone navigation systems can further increase the benefits of this technology. Using the built -in visual assessment, limp measuring units and map navigation over long distances, Qudat's solution allows drones to move in various environments with high accuracy, even in the absence of GPS signals. This ability is particularly valuable in conflict zones, areas affected by a disaster or rural, in which traditional navigation methods are often not sufficient.
Because drones become more integral for modern society, such innovations will be necessary to maintain safety and performance in the sky. Thanks to further research and development, we are approaching the future in which UAV can act autonomously and harmoniously, paving the way to the universal acceptance of drone technology in many sectors.
