The invention belongs to the technical field of unmanned driving, and discloses an unmanned vehicle and an unmanned driving control method and a controller thereof, and the unmanned driving control method comprises the steps: constructing a YOLOv5 recognition model based on a YOLOv5 deep learning algorithm, and training the YOLOv5 recognition model through a training set comprising lane lines, driving signs and driving environments; acquiring driving data in front of a driver; identifying the driving data through a trained YOLOv5 identification model, and obtaining a driving control instruction according to an identification result of the driving data; and the driving control instruction acts on a driving execution system of the unmanned vehicle. The driving data are image data including lane lines, driving signs and/or driving environments. In conclusion, the method has the advantages of being high in recognition accuracy, timely in control and the like, and can be effectively suitable for unmanned driving under complex road conditions.
本发明属于无人驾驶技术领域,公开了一种无人驾驶车辆及其无人驾驶控制方法与控制器,其中无人驾驶控制方法,包括:基于YOLOv5深度学习算法构建YOLOv5识别模型,并利用包含有车道线、行驶标志及行驶环境的训练集训练所述YOLOv5识别模型;采集驾驶前方的行驶数据;通过训练后的YOLOv5识别模型识别所述行驶数据,并根据所述行驶数据的识别结果获取行驶控制指令;将所述行驶控制指令作用于无人驾驶车辆的行驶执行系统中。所述行驶数据为包含有车道线、行驶标志和/或行驶环境的图像数据。综上,本发明具有识别准确度高、控制及时等优点,能够有效适用于复杂路况的无人驾驶。
Unmanned vehicle and unmanned control method and controller thereof
无人驾驶车辆及其无人驾驶控制方法与控制器
2023-09-19
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 / G06V |
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