Improvement of Disaster Situation Visualization System Using Truck-mounted Camera

Abstract

To minimize damage during disasters, the rapid collection and delivery of accurate information are essential. Then, we proposed an automatic disaster situation visualization system and implemented a prototype of it in the previous study. The system collects images taken by the car-mounted camera of a truck running in areas where a disaster occurs and displays them on a web-based map. By using the system, we can grasp the situation in the target area quickly and comprehensively. In this study, we improve the system from two perspectives. The first one is to add a function to post images to Twitter, and the second one is the improvement of the image mapping function.