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The project of the ITS (Intelligent Transport Systems) has been actively promoted researches and developments for the safe and efficient traffic. In the project, development of the lane detection algorithm is indispensable. Under outdoor environment, it is very difficult to detect a lane and to distinguish the various obstacles by vision systems, due to optical problems. Here we propose the Active Contour Model Method, which is known as the most robust method to detect the lane contour. The vehicle based on an electric wheelchair for handicapped persons was used to examine the validity of the method.

The electronic sound is used as one of the very common means of human-machine interface. Few investigations of how human feels to such the simple sounds noisy or comfortable, exist. The electronic sound must be designed by considering how or in what situation it is used. This research is aimed at investigating how human feels to a variety of electronic sound and describes the relation between human feeling and physical characteristics of sound. We investigated how physical parameters of sound effect to the human feeling via evaluation experiments. We found relations between the human auditory feeling and the physical characteristics of the sound. We showed a guideline of how to design a variety of electronic sound that satisfy the given human feeling specifications.

This paper describes the accurate and detailed estimation of traffic conditions around our vehicle on road by the incomplete laser radar signals. The conventional laser radar system monitors only one vehicle that runs just in front of the our vehicle. Careful observation of the laser radar signals includes more information than that required. This research aims at developing a new traffic condition monitoring system that monitors 8 to 10 vehicles that run around our vehicle by fully using the signals from the radar.