The invention provides an airport scene track prediction method based on a multi-head attention mechanism, and relates to the field of aircraft air traffic management. According to the method, a multivariable time sequence self-attention mechanism model of a self-attention mechanism and a feedforward neural network framework structure is adopted, aircraft taxiing track characteristics are extracted through the self-attention mechanism, a rule is learned, and a track in a period of time in the future is predicted. Meanwhile, the method utilizes a multi-head attention mechanism to carry out parallel operation, so that the operation efficiency is improved. According to the method, the future trajectory of the aircrafts during taxiing is predicted, the flight safety between the aircrafts during taxiing in an airport scene is ensured, and a reference is provided for an aviation taxiing trajectory prediction algorithm.
本发明提供一种基于多头注意力机制的机场场面航迹预测方法,涉及航空器空中交通管理领域。该方法采取自注意力机制和前馈神经网络框架结构的多变量时序自注意力机制模型,通过自注意力机制提取航空器滑行轨迹特征,学习规律,并对未来一段时间内的航迹进行预测。同时,该方法利用多头注意力机制进行并行运算,提高运算效率。本发明对航空器滑行期间的未来轨迹进行预测,保证机场场面内滑行中航空器之间的飞行安全,为航空滑行轨迹预测算法提供一份参考。
Airport scene track prediction method based on multi-head attention mechanism
一种基于多头注意力机制的机场场面航迹预测方法
2022-08-02
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES |
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