This research presents the technology of a vehicle-based mobile mapping system to maintain an updated transportation database for road and railway inventory.
The mobile mapping system integrates digital cameras developed to collect data on position and attributes of infrastructure and signs. This study discusses detecting and identifying road and railway signs from images based on neural networks, color image processing, parameters that present geometric characteristics. With this combined method it is possible to detect and identify signs.