Abstract
The goal of this study is to make pedestrian supporting geographic information systems by low cost. For the purpose, we mounted stereo vision camera on electric wheelchair that max speed is six kilometers per hour and obtain stereo vision images. We calculate candidates of borderline of sidewalk from each image by off-line, and recognize the type of the borderline (for example, curb, gutter, wall, white line, and so on). From these results from multiple images we calculate width, traffic, and road surface condition of each sidewalk. We applied this algorithm to the images obtained from low-speed outdoor vehicle (based on commercial electric scooter) and show the efficiency of it.
