Opinion: Artificial intelligence is the key to subverting drone technology
How to make the drone autonomously perform the task is the ultimate goal we pursue.
The drone consists of three parts: machine, power and drive. Singer, a robot expert and Obama’s military adviser, once said that the essence of robots is machines. Drones, also known as aerial robots. At present, with the development of information technology, there are three characteristics of drones.
First, the development of UAVs is closely related to the new technology industry. New technologies such as big data, cloud computing, and Internet of Things are profoundly affecting the revolution of UAV technology. Taking the national remote sensing as an example, in the future, the UAV will be used in large quantities, so there will be a lot of data in the field of remote sensing. At this time, combined with the update rate, many problems can be solved through data mining. After the networking in the future, the computing, storage, and intelligent capabilities on the aircraft can be solved through the cloud.
Second, the information infrastructure will become an important support for the measurement and control and flight management of the main network of drones. In order to industrialize drones, aviation management is a major issue. Therefore, we must rely on basic information facilities to solve our future traffic management problems, and it is impossible to conduct air traffic control in the current way. Mobile communications infrastructure, Internet infrastructure, and broadcast and television infrastructure will all be important anchors for drone master networks and flight management. What is the use of radio and television infrastructure? Once the UAV is released, it needs to have three basic capabilities that can be evaded, detectable and controllable. There are many signals transmitted by radio and television. As long as it can detect the network, the UAV can solve this problem. Therefore, the information infrastructure will become an important support for the main control and flight management of the UAV.
Third, artificial intelligence is the key to subverting drone technology. In the future, artificial intelligence technology will become the first subversive technology for the development of drones. This can be analyzed from three aspects: single-machine intelligent flight, multi-machine intelligent coordination, and task-autonomous intelligence.
Fan Bangkui, Academician of the Chinese Academy of Engineering
Single-machine flight intelligence involves environment awareness and avoidance, which is detection, communication and perception, information fusion, sharing, environment adaptation, and new sensors. In fact, ground-based driverless vehicles and aircraft have similarities in the air. Intelligent path planning uses many artificial intelligence technologies to solve planning problems. Intelligent flight control needs to solve openness, autonomy and self-learning, as well as intelligent airspace integration. Intelligent flight. Intelligent aircraft refers to a variety of aircraft, including both flying in the water and flying in the air.
Multi-machine collaboration involves a lot of content, the key technology is collaborative command and control, as well as collaborative situation generation and evaluation. Collaborative path planning and stand-alone planning are different, requiring synergy between each other, and then collaborative semantic interaction. The core of this semantic interaction is the understanding of the natural context of the machine. In the future, drones will work with other systems, so use a language that the machine can understand.
The last is the autonomous intelligence of the mission, which is the same as the ultimate driverless car running completely. When a drone performs a task, such as performing a reconnaissance or strike task, a target should not be hit, how to play, all of these things must be done by the machine itself, which is a very high requirement. This involves many issues such as target recognition, neural control of artificial intelligence, and rule control of expert systems. In short, how to make the drone autonomously perform the task is the ultimate goal we pursue.
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