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Design and research of automobile anti-collision warning system based on monocular vision sensor with license plate cooperative target

机译:基于车牌协同目标单眼视觉传感器的汽车防撞预警系统的设计与研究

摘要

At present, detection method for the target vehicle based on monocular vision sensor uses the whole vehicle as targets. The automobile anti-collision technology proposed in this paper adopts monocular vision sensor for automobile measurement based on vehicle license plate cooperative target. Monocular vision sensor has advantages of good real-time performance and low cost. The technique can improve the detection capability of vehicle collision avoidance warning systems. In addition to the target vehicle positioning, it can also realize attitude determination. This technology eliminates the limits of road surface roughness and fluctuation. This paper designs the realization scheme of collision warning system based on monocular vision sensor from the automobile license plate cooperative target. Technology roadmap of automobile collision warning system is given. In this paper, license plate frame location is as the research background. The paper presents an analytic solution of positioning method for the license plate frame image. The method uses four vertex characteristics of license plate frame image to locate. Positioning speed of the method is fast. And it has a unique solution. This method can be used to positioning for the license plate frame. Simulation experiment is done for the collision warning location. The simulation results show that this method can locate the position for license plate frame image. License plate is regular shape, uniform, with identity recognition function markers on the automobile body. In the previous research on automotive collision warning and intelligent vehicle, we have not seen the research methods similar to the method introduced in this paper. The research enriches automobile anti-collision technology and theory of intelligent vehicle technology. It can also provide an auxiliary method for navigation and obstacle avoidance research for unmanned vehicle. It has certain scientific significance. Vehicle collision warning system can help the driver judgment, prompting warning, improving driving safety, and has broad application prospects.
机译:目前,基于单眼视觉传感器的目标车辆的检测方法以整车为目标。本文提出的汽车防撞技术采用了基于车牌协同目标的单眼视觉传感器进行汽车测量。单眼视觉传感器具有实时性好,成本低的优点。该技术可以提高车辆避撞预警系统的检测能力。除了目标车辆定位之外,还可以实现姿态确定。这项技术消除了路面粗糙度和波动的限制。从汽车牌照协同目标设计了基于单目视觉传感器的碰撞预警系统的实现方案。给出了汽车碰撞预警系统的技术路线图。本文以车牌框架的定位为研究背景。提出了一种车牌框图像定位方法的解析解。该方法利用车牌框图像的四个顶点特征进行定位。该方法的定位速度快。它具有独特的解决方案。此方法可用于车牌框架的定位。针对碰撞预警位置进行了仿真实验。仿真结果表明,该方法可以定位车牌框图像的位置。车牌形状规则,均匀,在车身上带有身份识别功能标记。在先前关于汽车碰撞预警和智能车辆的研究中,我们还没有看到与本文介绍的方法类似的研究方法。该研究丰富了汽车防撞技术和智能汽车技术理论。它也可以为无人飞行器的导航和避障研究提供一种辅助方法。具有一定的科学意义。车辆碰撞预警系统可以帮助驾驶员判断,及时预警,提高驾驶安全性,具有广阔的应用前景。

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