The invention relates to an LSTM-DTW-based heavy vehicle rollover early warning method, in particular to a method for performing trend prediction by using an LSTM neural network on the premise of performing S-G filtering on a vehicle motion parameter roll angle speed to effectively reduce noise and keeping signal original information, and performing DTW template matching on a predicted curve and a standard template to finally realize rollover identification. The method is characterized by comprising the following steps: acquiring a vehicle rollover curve template; 2, predicting the trend of the driving state of the vehicle in a future time period; and step 3, predicting curve template matching rollover identification.
本发明一种基于LSTM‑DTW重型车辆侧翻预警方法,具体是涉及对车辆运动参数侧倾角速度进行S‑G滤波有效降噪并保持信号原始信息的前提下利用LSTM神经网络进行趋势预测,将预测后的曲线与标准模板进行DTW模板匹配最终实现侧翻识别。其特征在于,该方法包括以下步骤:车辆侧翻曲线模板的获取;步骤二、车辆未来时间段内行驶状态的趋势预测;步骤三、预测曲线模板匹配侧翻识别。
Heavy vehicle rollover early warning method based on LSTM-DTW
一种基于LSTM-DTW重型车辆侧翻预警方法
2022-11-04
Patent
Elektronische Ressource
Chinesisch
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 |
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