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Experiment of Safety Drive in an Intersection by Visual Assistances based on HIR System

机译:基于头发系统的视觉援助在交叉口中的安全驱动试验

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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 can't 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:在怨恨岁月中,已经研究了AHS(高级公路系统)以实现自动化驾驶。在AHS中,摄像机的图像用于感应,而不是给人类的感应,并且通过使用这些图像,GPS,VIC等来控制汽车。然而,机器在传感中产生错误,不能肯定无法控制汽车。这有时会导致严重的交通事故。在AHS中解决这个问题非常重要。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,摄像机的图像用作“图像”,而不是在AHS中感测。我们报告了一种将HIR系统应用于交叉路口的方法。然而,实验仅在一个Diorama上制作,并且还有一种先决条件,我们在实时了解所有相机的位置和方向。在本文中,我们在真正的交叉路口进行实验。我们通过使用一些传感器除去常规先决条件。此外,我们在算法中使用三个帧图像之间的差异来提取相反的直线车。最后,我们生成了视觉辅助图像,评估了在汽车监视器上显示的图像。

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