In resent years, AHS(Advanced Highway Systems) has been studied to realize the automated driving. I n 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 trafic 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)" . I n HIR, images from cameras are used as "images" ,not for sensing in AHS. In this paper, we describe an approach of applying HIR system to an intersection. In an intersection, we have to pay attention to other cars and walkers. For example, when a driver tries to t u m right (left in USA) in a n intersection, the driver can't see an opposed cur coming straight hidden b y another opposed car waiting to turn right. It may cause a car crash accident. To solve this problem, we propose some visual assistances of showing the hidden car. Then, we compare each of visual assistances, and we show effectiueness of these visual ussistances based on HIR system.
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