The invention discloses an automatic driving track prediction method based on an improved DenseTnt model. The method comprises the following steps: acquiring current road description information of a target vehicle in real time, and performing feature extraction on the current road description information to obtain current road description information features; inputting the current road description information features into a pre-constructed improved DendeTnt model to obtain a current automatic driving track corresponding to the target vehicle; and sending the current automatic driving track to a vehicle controller to realize automatic driving operation of the vehicle. The problems that an automatic driving track prediction model is complex in structure, inaccurate in precision and high in track prediction time consumption are solved, the efficiency and accuracy of automatic driving track prediction are improved, the structure of the model is simplified, and the precision of the model is improved.
本发明公开了一种基于改进DenseTnt模型的自动驾驶轨迹预测方法。通过实时获取目标车辆的当前道路描述信息,并对当前道路描述信息进行特征提取,得到当前道路描述信息特征;将当前道路描述信息特征输入至预先构建的改进DendeTnt模型中,得到与目标车辆对应的当前自动驾驶轨迹;将当前自动驾驶轨迹发送于车辆控制器中,以实现车辆的自动驾驶操作。解决了自动驾驶轨迹预测模型结构复杂、精度不准确和轨迹预测耗时高的问题,提高了自动驾驶轨迹预测的效率和准确率,简化了模型的结构,提高了模型的精度。
Automatic driving track prediction method based on improved DenseTnt model
基于改进DenseTnt模型的自动驾驶轨迹预测方法
10.05.2024
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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