A lane changing intention prediction method based on LSTM comprises the steps of collection of a training data set, LSTM model training and lane changing prediction in a vehicle driving process. According to the collection of the training data set and LSTM model training, a camera is erected above a representative typical road section, data is acquired, and a lane change intention prediction modelis acquired through a large amount of data training; and lane change prediction in the vehicle driving process is used for lane change prediction in the driving process. The method is suitable for predicting a lane changing intention of other surrounding vehicles (target vehicles) in the driving process of the automatic driving vehicle. An LSTM method is adopted to predict the lane changing intention, whether the information is useful or not is judged in advance, the information is processed, and more accurate data is provided for predicting the lane changing intention.
本发明一种基于LSTM的换道意图预测方法包括,训练数据集的采集和LSTM模型训练、车辆行驶过程中的换道预测;训练数据集的采集和LSTM模型训练,在具有代表性的典型路段上方架设摄像头,获取数据,通过大量的数据训练,得到换道意图预测模型;车辆行驶过程中的换道预测,用于行驶过程中的换道预测。本发明适用于用于自动驾驶车辆行驶过程中预测周围其他车辆(目标车辆)的换道意图;采用LSTM方法进行换道意图的预测,先行对判断信息是否有用并对信息进行处理,为换道意图预测提供了更加准确的数据。
Lane changing intention prediction method based on LSTM
一种基于LSTM的换道意图预测方法
2020-10-30
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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