THREE-DIMENSIONAL WIND, AIRSPEED CALCULATION, AND PREDICTION METHOD FOR AERIAL DRONES USING DEEP Abstract: Aerial drones are well known as Unmanned Aerial Vehicles (UAVs) are effectively used in many contemporaneous applications namely traffic monitoring, surveillance and reconnaissance, parcel delivery, wireless internet facility-based drone delivery, and environmental and desertification monitoring, etc. The aerial drone is operated either by humans or autonomously so that the aerial drone can navigate to the respective location to collect the informational data in many applications. The ubiquity and the versatile nature of the UAV (unmanned aerial vehicle) which is commonly known as the drones are made to measure and calculate the wind conditions. The calculation of the local wind's direction and speed becomes a vital process as it involves the drone's aviation. This gets more important in UAV as it becomes important in its applications like inspection of the infrastructure, monitoring the environment, and operations that involve search process and rescue process. The drones involved in civil applications are commonly small and tend to get diverted when the force of the wind is strong. These advancements either involve the experimentations using the indoor environmental conditions that are controlled or involves complex computation using mathematical representations. Still, there is more difficulty faced in the process of computation of the wind speed. Thus, research and experimentation are made using the machine learning algorithm. This invention is intended for the development of the method that measures the speed of the air or wind around aerial drones. This method uses the deep learning neural network for making the computation. The sensors are used for sensing the information regarding the wind speed that is stored and processed using the deep learning algorithms. UNKNOWN WIND SPEED AERIAL DRONE FEATURE VECTOR FEATURE VECTOR NORMALISATION AERIALDRONE Figure 3: Calculation method for estimating the speed of the wind.


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    Titel :

    THREE-DIMENSIONAL WIND, AIRSPEED CALCULATION, AND PREDICTION METHOD FOR AERIAL DRONES USING DEEP LEARNING


    Beteiligte:

    Erscheinungsdatum :

    2021-07-01


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / B64C AEROPLANES , Flugzeuge / G01W METEOROLOGY , Meteorologie / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen



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