首页> 外文会议>Intelligent Vehicles Symposium, 2003. Proceedings. IEEE >Experiment of safety drive in an intersection by visual assistances based on HIR system
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Experiment of safety drive in an intersection by visual assistances based on HIR system

机译:基于HAIR系统视觉辅助的十字路口安全驾驶实验

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In resent years, AHS (advanced highway systems) has been studied to realize the automated driving. In AHS, images from cameras are used for sensing, not given to humans, and cars are controlled by using these images, GPS, VICS, etc.. However, machines make errors in sensing and cannot always control cars certainly. This sometimes causes serious traffic accidents. It is very important to solve this problem in AHS . To solve the problem in AHS, we have proposed a new concept system "HIR (Human-Oriented Information Restructuring)". In HIR, images from cameras are used as "images", not for sensing in AHS. We reported an approach of applying HIR system to an intersection. However, the experiment was made on only a diorama and there was also a prerequisite condition that we know the position and direction of all cameras at real time. In this paper, we make experiment on a real intersection. And we remove the conventional prerequisite condition by using some sensors. In addition, we use the difference between three frame images in algorithms to extract an opposite going straight car. Finally, we generate visual assist images and the images displayed on the car monitor are evaluated.
机译:近年来,人们一直在研究AHS(高级公路系统)以实现自动驾驶。在AHS中,来自摄像机的图像用于感测,而不是提供给人类,并且通过使用这些图像,GPS,VICS等来控制汽车。但是,机器在感测中会出错,并且不能始终确定地控制汽车。这有时会导致严重的交通事故。解决AHS中的这一问题非常重要。为了解决AHS中的问题,我们提出了一个新的概念系统“ HIR(以人为本的信息重组)”。在HIR中,来自摄像机的图像被用作“图像”,而不是用于AHS中的感测。我们报告了一种将HIR系统应用于路口的方法。但是,该实验仅在立体模型上进行,还存在一个前提条件,即我们可以实时了解所有摄像机的位置和方向。在本文中,我们在一个真实的相交处进行实验。并且我们通过使用一些传感器消除了常规的先决条件。此外,我们在算法中使用三帧图像之间的差异来提取对面直行汽车。最后,我们生成视觉辅助图像,并评估车载监视器上显示的图像。

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