The invention discloses an abnormal static vehicle identification method, a medium, equipment and a vehicle. The method comprises the following steps: constructing a data set by using an abnormal static vehicle positive example meeting a first preset condition and an abnormal static vehicle negative example meeting a second preset condition; wherein the first preset condition is a first target vehicle which is located in a road lane in a preset area range in front of the automatic driving vehicle and is kept static in both historical observation duration and future observation duration; the second preset condition is a second target vehicle which is located in a road lane in a preset area range in front of the automatic driving vehicle, keeps still in historical observation duration and moves in future observation duration; training a preset dichotomy model by adopting the data set, wherein the dichotomy model is built based on a deep learning model; and deploying the trained dichotomy model into the automatic driving system to identify an abnormally static vehicle. Through the above mode, the identification accuracy and flexibility of the abnormal static vehicle can be improved.
本申请公开了一种异常静止车辆识别方法、介质、设备及车辆,包括:以满足第一预设条件的异常静止车辆正例和满足第二预设条件的异常静止车辆负例构建数据集;其中,第一预设条件为位于自动驾驶车辆前方预设区域范围的道路车道内,且在历史观测时长和未来观测时长中均保持静止的第一目标车辆;第二预设条件为位于自动驾驶车辆前方预设区域范围的道路车道内,且在历史观测时长中保持静止和在未来观测时长中发生运动的第二目标车辆;采用数据集对预设的二分类模型进行训练,二分类模型是基于深度学习模型搭建的;将完成训练的二分类模型部署至自动驾驶系统中,以识别异常静止的车辆。通过上述方式,本申请能够提高异常静止车辆的识别准确性和灵活性。
Abnormal static vehicle identification method, medium, equipment and vehicle
一种异常静止车辆识别方法、介质、设备及车辆
18.02.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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 / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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