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In recent years, the technical progress in digital image technologies and mechanics has made the combination of image and mechanics system become an active research field. Image and mechanic system is broadly used in many application areas, such as
aeronautical systems, antimissile, satellite manipulation, videoconferencing, autonomous mobile robots, etc.
In this study, the intelligent real time image guide system has been used to perform real time “target tracking and constant distance keeping” task, which is able to guide an eye-on-car robot using real time image processing equipment. The intelligent real
time image guide system uses the location of binary image features from a CCD camera on the mobile vehicle’s head to handle the image processing, image understanding, and provides useful information for the mobile vehicle control system. A unique feature-based trajectory generator provides smooth transition between the actual and desired image features even with asynchronous and discontinuous vision updates. That discontinuous problem is reasonable by performing the trajectory generation in image feature space with the time constraint of image processing. The functions of image processing constrains such as the time of feature extraction and trajectory generation, which includes image pre-processing, captured images detection, the position error and angle error determination. Moreover, a fuzzy logic control system is applied to the mobile vehicle system, which consists of two driving wheels directly coupled to two servomotors, and one passive centered rotated wheel. The results of the test system demonstrated a great potential of utilizing real time image processing to navigate the mobile vehicle.

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