The invention discloses a driving risk early warning device and method based on visual perception. A plurality of cameras are installed in four directions of an automobile to collect videos of the surrounding environment of the automobile in the driving process of the automobile in real time, and the driving risk type of the automobile and the risk level of surrounding moving automobiles are calculated through a deep learning algorithm. According to the method, the model of the current deep convolutional neural network can be switched in real time by using the real-time performance of the real-time system at the same time, and the waste of computing resources is effectively avoided on the basis of ensuring the accuracy and real-time performance of risk driving behavior prediction. The driving behavior risk of surrounding automobiles and the driving behavior risk of the automobile can be notified and perceived, and more comprehensive information is provided for prediction of the dynamicrisk of the automobile.
本发明公开基于视觉感知的驾驶风险预警装置及方法。本发明通过在汽车的四个方向安装若干摄像头实时采集车辆行驶过程中车辆周边环境的视频,并通过深度学习的算法计算出自身车辆的行驶风险类型和周边运动车辆的风险等级。本发明可以同时利用实时系统的实时性对当前深度卷积神经网络的模型进行实时切换,在保证风险驾驶行为预测的准确性和实时性的基础上,有效的避免了计算资源的浪费。本发明可以通知感知周围车辆的驾驶行为风险和本车的驾驶行为风险,为车辆动态风险的预测提供了更全面的信息。
Driving risk early warning device and method based on visual perception
基于视觉感知的驾驶风险预警装置及方法
2021-02-19
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / H04L TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION , Übertragung digitaler Information, z.B. Telegrafieverkehr / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen |
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