Recently, the EPFL Intelligent Systems Laboratory (LIS) in Switzerland has built a bionic drone. The researchers equipped the drone with artificial feathers to meet different aerodynamic requirements, deploying or closing wings according to wind direction and wind speed for fast flight, sharp turns and strong winds. The study broadens the range of adaptation of winged drones to make them unobstructed in forests, low-altitude or coastal windy cities, and detailed data has been published in the Royal Society Journal's "Interface Focus."
In recent years, the application potential of UAVs has been huge, and it has gradually become an auxiliary helper in many fields, mainly involving exploration, navigation, disaster relief and other industries. At present, many application softwares are used together with drones. Ford Motor Company is working on drones to assist in autopilot car navigation systems. The drones of self-driving cars will depict the geographical conditions outside the detection range of the car sensors, and passengers can control the flight direction of the drones through the car's internal navigation system. This system allows the drone to navigate the passengers in real time, especially when passengers drive their cars into the woods or for off-road exploration.
In addition, this year, Ford and the drone manufacturer DJI Innovation Cooperation held a challenge to encourage the development of mutual communication technology between drones and cars, so that drones can guide vehicles into and out of disaster-free areas or roads with no communication signals. area.
At this stage, the domestic drone market still faces the dilemma of lack of application software. In recent years, many domestic drone companies have begun to shift from hardware production to software development and application. Among them, Dajiang Innovation released a drone product equipped with a visual recognition system this year. The industry believes that the combination of drone products and smart technology is expected to alleviate software shortcomings. For example, the UAV sensor collects external data, transmits it back to the cloud system, and analyzes the data for each refinement field. The integration of software and hardware will greatly increase the demand of the UAV market.
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