The invention provides a vehicle control method and device for carrying out target detection based on deep learning. An entity object existing in a front environment of a vehicle is detected through apreset machine learning model in a vehicle driving process, and the driving of the vehicle is controlled according to the detected entity object. In the process of carrying out model training on theinitial model to obtain a preset machine learning model, the initial model generates an identification box used for marking the entity object in the training sample according to the box information ofthe clustering sample box, Wherein the clustering sample box is determined by performing clustering operation on the sample identification box. The initial model can refer to the clustering sample box to generate the identification box without trying the identification boxes of various sizes, so that the convergence rate of model training is increased, the operation time of the model training process is shortened, the required model can be trained in time or the model can be updated in time for an unmanned vehicle, and the on-road requirement of the unmanned vehicle is met.
本发明提供了一种基于深度学习进行目标检测的车辆控制方法和装置,车辆行驶过程中通过预设机器学习模型检测车辆前方环境中存在的实体对象,进而根据检测出的实体对象控制车辆行驶。在对初始模型进行模型训练得到预设机器学习模型的过程中,初始模型根据聚类样本框的框信息生成用于对训练样本中的实体对象进行标记的识别框。其中,聚类样本框通过对样本识别框进行聚类运算确定。初始模型可以参照聚类样本框生成识别框,无需尝试各种尺寸的识别框,加快了模型训练的收敛速度,降低了模型训练过程的运算时间,有利于针对无人驾驶的车辆及时训练出需要的模型或及时进行模型更新,满足无人驾驶车辆的上路需求。
Vehicle control method and device for carrying out target detection based on deep learning
一种基于深度学习进行目标检测的车辆控制方法和装置
15.01.2021
Patent
Elektronische Ressource
Chinesisch
IPC: | G06K Erkennen von Daten , RECOGNITION OF DATA / 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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