Enhanced navigation system with real images and real-time information

Abstract

This paper presents a new visualization system, which integrates multiple kind of information for car drivers. The prototype of this system consists of two key applications. The first one is a car navigation system with real world texture images. In this system, buildings are texture mapped by actual images, which are retrieved by our automatic map- making system. The second is a hybrid visualization system, which efficiently visualizes the invisible cars behind the buildings. This system is expected to reduce car accidents that occur around intersections, places where drivers usually have only very narrow fields of view. To realize these systems, we propose an efficient building texture database construction system which, for input, uses the video data captured by a vehicle equipped with multiple video cameras and running along the street. To demonstrate the effective ness of our system, we present some experimental results with actual outdoor environmental data.