The invention relates to the technical field of intelligent driving, in particular to a driving mode prediction model training method and system and a driving mode recommendation method.The driving mode prediction model training method comprises the steps that a training set is obtained, and the training set comprises multiple feature sets and driving mode labels in one-to-one correspondence with the feature sets, the feature set comprises multiple pieces of time step data, and the time step data comprises target vehicle state features; the training set is input into a preset driving mode prediction model, driving mode prediction is carried out, a driving mode prediction result is obtained, and the driving mode prediction model comprises a bidirectional long-short-term memory network layer used for extracting a bidirectional hidden state of time step data; training a driving mode prediction model according to the driving mode prediction result and the corresponding driving mode label; according to the method, the front-back dependency relationship of each feature in the time sequence can be obtained, and the prediction accuracy of the driving mode prediction model can be improved.
本申请涉及智能驾驶技术领域,尤其涉及一种驾驶模式预测模型训练方法、系统及驾驶模式推荐方法,驾驶模式预测模型训练方法包括:获取训练集,训练集包括:多个特征集合,以及与特征集合一一对应的驾驶模式标签,特征集合包括多个时间步数据,时间步数据包括目标车辆状态特征;将训练集输入预设的驾驶模式预测模型,进行驾驶模式预测,得到驾驶模式预测结果,驾驶模式预测模型包括用于提取时间步数据的双向隐藏状态的双向长短期记忆网络层;根据驾驶模式预测结果及对应的驾驶模式标签,对驾驶模式预测模型进行训练;该方法能够得到每个特征在时间序列中的前后依赖关系,有助于提高驾驶模式预测模型的预测精准度。
Driving mode prediction model training method and system and driving mode recommendation method
驾驶模式预测模型训练方法、系统及驾驶模式推荐方法
2025-02-28
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 |
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