An automobile blind area detection system based on cameras comprises a plurality of cameras arranged in the circumferential direction of the periphery of an automobile; the target detection module is used for extracting a target in the video according to the feature points; the target ranging module is used for determining the position of a target; the vehicle driving track prediction and collision prediction module is used for calculating whether a target possibly collides in the driving process of the vehicle or not and performing voice reminding and warning on a driver in the vehicle and personnel outside the vehicle through a loudspeaker; and the image synthesis module is used for generating a virtual three-dimensional environment model according to the conditions around the vehicle and the driving state of the current vehicle in a modeling manner. According to the method, the problem of view blind areas is solved by arranging the all-round cameras around the vehicle body, the target object can be recognized through feature extraction, the accident occurrence probability can be reduced through vehicle driving track prediction and collision prediction, a vehicle surrounding environment condition model can be established through image synthesis and modeling, and the observation efficiency of a driver is improved.
一种基于摄像头的汽车盲区检测系统,包括:多个摄像头,设置于车辆四周的周向;目标检测模块,用于根据特征点提取出视频中的目标;目标测距模块,用于确定目标的位置;车辆行驶轨迹预测与碰撞预测模块,用于计算出是否有目标在车辆的行驶中可能发生碰撞,并通过喇叭对车内驾驶员以及车外人员进行语音上的提醒与警告;图像合成模块,用于通过建模的方式将车辆周围的情况以及当前车辆的行驶状态生成一个虚拟的三维环境模型。本发明通过在车身周围布置环视摄像头,解决了视野盲区问题,可通过特征提取识别出目标物,通过车辆行驶轨迹预测与碰撞预测可减少事故发生概率,通过图像合成与建模可建立车辆周围环境情况模型,提高了驾驶员观察效率。
Automobile blind area detection system based on camera
基于摄像头的汽车盲区检测系统
2022-12-27
Patent
Electronic Resource
Chinese
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