The invention discloses an intelligent early warning system and method for a blind area on the right side of a dangerous goods transport vehicle. The system comprises a data acquisition module, a data preprocessing module, a target detection module, a collision prediction module and a real-time monitoring and early warning module. The invention belongs to the technical field of blind area detection, and particularly relates to an intelligent early warning system and method for a blind area on the right side of a dangerous goods transport vehicle, image data preprocessing is carried out by adopting a weighted nuclear norm minimization method and a data splicing and over-sampling method, and the data preprocessing efficiency and the image data quality are improved; blind area target detection is carried out by adopting a K-means algorithm and a miniature about lov model with a residual convolutional network, so that the accuracy and the precision degree of target detection are improved; by adopting the collision probability prediction method based on the driving risk field domain, the intelligent attribute and availability of right blind area early warning are improved.
本发明公开了一种危险品运输车右侧盲区智能预警系统及方法,系统包括数据采集模块、数据预处理模块、目标检测模块、碰撞预测模块和实时监控及预警模块。本发明属于盲区检测技术领域,具体为一种危险品运输车右侧盲区智能预警系统及方法,本发明采用加权核范数最小化方法和数据拼接及过度采样的方法进行图像数据预处理,提高了数据预处理的效率和图像数据的质量;采用基于K均值算法和具有残差卷积网络的微型约洛夫模型进行盲区目标检测,提高了目标检测的准确率和精确程度;采用基于驾驶风险场域的碰撞概率预测方法,提高了右侧盲区预警的智能属性和可用性。
Intelligent early warning system and method for blind area on right side of dangerous goods transport vehicle
一种危险品运输车右侧盲区智能预警系统及方法
2023-11-07
Patent
Elektronische Ressource
Chinesisch
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